How collaboration arrises and why it fails

Podcast with Ernst Numann on rule of law and judicial collaboration

Mon, 30 Mar 2026 13:25:08 GMT

How do adversarial lawyers, disagreeing judges, and competing branches of government collaborate to produce justice? Ernst Numann, recently retired Vice President of the Dutch Supreme Court, reveals the hidden collaborative architecture of the legal system , and why the rule of law is far more fragile than most people believe. Subscribe for more episodes exploring collaboration across institutions. Ernst Numann spent 20 years on the Supreme Court of the Netherlands after a career spanning district courts, appellate courts in Curaçao, and private legal practice. His perspective on collaboration operates at three distinct levels simultaneously: between opposing parties in a courtroom, between judges deliberating a decision, and between the legislative, executive, and judicial branches of government. The conversation opens with a deceptively simple observation: even adversarial legal proceedings require collaboration. Two lawyers with completely opposing goals must cooperate within a shared procedure, supervised by a judge whose goal is a fair outcome. This structured antagonism , where collaboration serves justice precisely because it channels conflict rather than eliminating it , offers a model rarely considered in discussions of teamwork. At the level of judicial deliberation, Numann describes how Supreme Court judges with different views must reach a single binding decision. The process demands genuine listening, willingness to be persuaded, and ultimately acceptance of outcomes you may personally oppose. The ambition, he explains, was always to reach decisions acceptable to all judges, including dissenters, through the quality of reasoning rather than majority force. The most revealing segment addresses collaboration between branches of government. Numann explains how the Dutch system distributes rather than divides power: sometimes the government has legislative functions, sometimes the legislature has governmental ones. He illustrates this with a concrete case where the Supreme Court declared anti-squatting legislation partially invalid, the parliament revised it, and the Court then accepted the revision , a collaborative loop between institutions designed to check each other. The conversation takes a striking turn when Numann notes that in Dutch, the word "collaboration" specifically means working with the enemy , a direct reference to World War II occupation. The Dutch use "samenwerking" (cooperation) for constructive joint work. This linguistic distinction, shared with Danish, reveals how historical trauma shapes even the vocabulary available for discussing collective action. On the vulnerability of democratic institutions, Numann is sobering: the rule of law and democracy are opposite sides of the same coin, and that coin is extremely fragile. Western Europe's stability is not guaranteed , eighty years ago, the entire system was overthrown, and there are no automatic mechanisms ensuring its return. When asked what he would change about humans to improve collaboration, Numann's answer is characteristically precise: good memory. The ability to remember what was agreed, what was promised, and what happened before is the foundation on which institutional collaboration rests. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Swami Shantamritananda Puri on spiritual collaboration and humanitarian work

Mon, 30 Mar 2026 13:22:22 GMT

From a hut on the Arabian Sea to building a 1,500-bed hospital and 100,000 houses for the underserved , Swami Shantamritananda Puri's journey through monastic life, disaster relief, and humanitarian collaboration across every continent reveals what happens when spiritual practice meets large-scale collective action. Subscribe for more episodes on the deepest roots of human collaboration. Swami Shantamritananda Puri, known as Shanti, brings a perspective unlike any other in this series. Trained in philosophy and Asian studies, he served briefly in the armed forces before joining a traditional ashram in South India at age 25. That ashram grew into a worldwide humanitarian mission active in virtually every country, and Shanti's collaborative work has spanned hospital construction, disaster relief in Japan and the Philippines, public health in Papua New Guinea, interfaith dialogue with Buddhist communities in Tokyo, and scientific research initiatives in Chicago. His distinction between cooperation and collaboration is intuitive but precise: cooperation is dividing a task among more people to finish faster; collaboration is becoming something greater together , more adaptable, more resourceful, yielding intangible benefits that no participant could have achieved alone. This definition, drawn from decades of humanitarian fieldwork rather than academic theory, captures something that formal frameworks often miss. The conversation explores how spiritual communities organize collaboration at massive scale. The ashram's humanitarian projects , building housing for 100,000 underserved people, operating disaster relief across multiple countries simultaneously , require coordinating volunteers, professionals, governments, and local communities with radically different expectations and capabilities. The binding force is not contractual obligation but shared spiritual commitment and what Puri calls the love dimension of collaboration. The most powerful segments are the stories. Puri describes volunteers building houses for elderly widows in rural India , a karate master who spent days showing off his strength, only to collapse in tears on the final day because the 70-year-old widow he was building for had been scurrying around the neighborhood each morning to gather coffee grounds and sugar to serve her builders. These moments of genuine human connection, Puri argues, are not sentimental additions to collaboration but its actual foundation. On the relationship between spiritual practice and collaborative capacity, Puri draws from both Eastern philosophy and practical experience. The concept of oneness , seeing others not as separate entities to negotiate with but as extensions of a shared humanity , transforms collaboration from a strategic calculation into a natural expression of human connection. The mother-child relationship serves as his primary metaphor: before birth, there is literal oneness; after birth, the emotional bond persists as the template for all genuine collaboration. His vision for sustainable collaboration combines administrative holism with philosophical oneness , practical organizational design informed by the recognition that every human being shares the same fundamental longing for connection and meaning. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Heidi Keller on cross-cultural psychology and child development

Mon, 30 Mar 2026 13:19:11 GMT

What if everything we think we know about collaboration is based on only 5% of the world's population? Developmental psychologist Heidi Keller challenges Western assumptions about teamwork, parenting, and collective action by drawing on decades of cross-cultural research with families across Africa, Asia, and South America. Subscribe for more episodes exploring how collaboration works across cultures. Heidi Keller, director of Nevet at the Hebrew University in Jerusalem, brings an evolutionary and anthropological lens to a concept most researchers treat as universal. Her longitudinal studies of families across multiple continents reveal that collaboration means fundamentally different things depending on cultural context , and that ignoring this difference has real consequences for policy, development aid, and migrant integration. The core distinction is precise. In Western middle-class contexts, collaboration is dyadic: two individuals jointly define goals and contribute as equals. In rural farming communities across Africa, Asia, and South America, collaboration means contributing to goals defined by the community , not imposed, but mutually understood as serving collective well-being. Neither model is superior, but treating the Western version as the default distorts research, policy, and intervention programs worldwide. Keller traces how these differences emerge in early childhood. Western parenting emphasizes individual agency, verbal negotiation, and autonomous decision-making from infancy. Children in rural Cameroonian Nso communities, by contrast, learn collaboration through observation, participation in household tasks, and responsiveness to the needs of others , without explicit instruction. By age three, these children demonstrate collaborative competence that Western children of the same age typically lack. The conversation challenges the assumption that collaboration requires explicit communication and shared intentionality in the way Western psychology defines it. Keller describes how Nso toddlers seamlessly coordinate household tasks, anticipate others' needs, and contribute to collective goals through what she calls "keen observation and eager participation" , a form of collaboration that Western developmental frameworks fail to recognize because they are looking for verbal negotiation and joint attention. The ethical implications are direct. Keller argues that organizations like UNICEF, WHO, and major foundations export Western middle-class developmental norms as universal standards, intervening in cultural systems worldwide with frameworks that do not apply. The result is wasted resources and deep disrespect toward other cultures. The same dynamic plays out in how Western countries treat migrant families , pathologizing parenting practices that are adaptive in their original context. When asked whether humanity can achieve sustainable global collaboration, Keller is pessimistic: economic interests override collective well-being, and corruption undermines cooperative structures everywhere. Her proposed change is deceptively simple: stop viewing yourself as the center of the world, and develop genuine interest in how others live, believe, and raise their children. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Connie Hedegaard on climate policy and EU politics

Mon, 30 Mar 2026 13:15:34 GMT

How do you push 27 EU member states toward a single climate target when every country has different interests? Former EU Climate Commissioner Connie Hedegaard reveals the invisible mechanics of political collaboration , from backroom negotiations to cross-sector coalition building. Subscribe for more episodes on how collaboration works under real-world pressure. Connie Hedegaard brings a rare combination of journalism, national politics, and EU-level policymaking to a conversation about what collaboration actually looks like when the stakes are planetary. Having served as Denmark's Minister of the Environment and then as European Commissioner for Climate Action, she led the political process that produced the EU's 40 percent climate targets for 2030 , a precursor to the Paris Agreement. The central insight is that political collaboration operates nothing like the textbook version. Hedegaard describes a process where formal institutions are only one layer of a much more complex system. Achieving climate targets required simultaneous engagement with knowledge institutions, businesses, NGOs, civil society, and informal networks , pushing buttons inside and outside the political world that most observers never see. Hedegaard draws a sharp distinction between political and academic collaboration. Researchers can pursue their own truth; politicians must find landing zones. Compromise is not a weakness but the operating system of democratic policymaking. This creates a fundamental tension when scientists produce relevant knowledge but fail to understand the decision-making processes through which that knowledge must travel to have impact. The conversation addresses the Copenhagen COP15 experience directly. Hedegaard describes how the failure to reach a binding agreement revealed the limits of multilateral collaboration when trust breaks down between major powers. The lesson was not that collaboration is impossible at scale, but that process design matters enormously , who is in the room, how information flows, and whether participants feel ownership of the outcome. On building coalitions, Hedegaard offers a concrete example: the Beyond Oil and Gas Alliance. It started not with governments but with philanthropic foundations convening stakeholders, broadening the circle, building shared understanding, and only bringing the initiative to the political arena when it was mature enough to succeed. This staged approach, starting small, building trust, then scaling, emerges as her model for effective collaboration. She identifies short-term thinking as humanity's greatest obstacle to sustainable collaboration. If she could change one thing, it would be replacing instant self-interest with a genuine sense of responsibility for future generations , not as a catchphrase but as embedded behavior. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Jonatas Manzolli on music and mathematics and algorithmic composition

Mon, 30 Mar 2026 13:00:17 GMT

Can mathematics compose music? Can robots create art that is genuinely good for people? Brazilian mathematician and composer Jonatas Manzolli explores the collision between understanding and interpretation , and why collaboration between art and science may be essential for humanity's survival. Subscribe for more episodes on how collaboration works across disciplines. Jonatas Manzolli occupies a rare intersection: trained in mathematics, driven by music composition, and committed to building bridges between algorithmic understanding and artistic interpretation. As head of the Interdisciplinary Center for Sound Communication at the University of Campinas in Brazil, he has spent decades pushing students and collaborators to confront a fundamental question , whether the purpose of human endeavor is to understand the world or to live in it. The conversation opens with Manzolli's formative tension. Studying mathematics and music simultaneously, he found himself caught between two demands: mathematicians wanted him to understand; musicians wanted him to interpret and feel. His PhD in music composition was an attempt to resolve this by emphasizing creation, but the resolution came not as a choice between the two but as a commitment to being an interface , translating between the possibilities of understanding and the necessities of expression. This personal trajectory becomes a lens for examining collaboration itself. Manzolli argues that the most productive collaborations happen when participants bring genuinely different modes of thinking , not just different expertise within the same paradigm. His work with Paul Verschure on robotic systems that interact with human performers illustrates this: the question shifted from "how does the robot talk to the system?" to "how do we produce artifacts that are good for people?" , a move from technical capability to human benefit. The pandemic reshaped Manzolli's understanding of collaborative practice. Isolated in a small space, experiencing what he calls "the aesthetics of compression," he began writing musical letters , short scores sent to friends as a form of connection. When 15 dancers responded with movement to a poem he wrote, he used algorithmic composition to merge their movement and voice into something he calls music, even though it contains no traditional notes. The result demonstrates how collaboration can emerge from constraint when participants trust each other enough to respond authentically. On the relationship between art and survival, Manzolli is direct: not all problems can be solved by science alone. Environmental crises have layers, ecological, historical, relational, that require cultural and artistic engagement alongside technical solutions. A future society that eliminates space for art, science, and culture in equal measure will not survive its own intolerance. His proposed change to humanity is the capacity to believe in other people and to become tolerant of others , a deceptively simple formulation that connects mathematical precision with artistic generosity. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Sijbrand de Jong on CERN and particle physics

Mon, 30 Mar 2026 12:56:34 GMT

What does it take to make a thousand full professors, each king of their own empire, work together as equals? Sijbrand de Jong, former president of the CERN Council, reveals how the world's largest scientific collaborations actually function, why formal rules of procedure matter more than goodwill, and what particle physics can teach every organization about scaling cooperation. Subscribe for more episodes on collaboration at scale. Sijbrand de Jong's career is a masterclass in escalating collaborative complexity: from 60-person experiments as a master's student, through hundreds-strong collaborations at CERN's OPAL experiment, to presiding over the CERN Council , the governing body that approves billion-euro accelerator projects requiring decades of commitment from member states. Along the way, he founded research institutes, directed a pre-university science college, and served in university governance at Radboud University. The conversation opens with a linguistic insight that frames everything that follows. In Dutch, "collaboration" means siding with the enemy , a direct reference to World War II occupation. The Dutch use "samenwerking" for constructive joint work. This distinction, shared with Danish, reveals how historical trauma shapes even the vocabulary available for discussing collective action. De Jong describes the internal dynamics of large physics collaborations with unusual candor. When over a thousand principal investigators must work together, nationality becomes a significant variable. Some national cultures produce researchers who accept collaborative hierarchy easily; others generate constant friction. The skill of collaboration leadership is managing these differences without pretending they do not exist. The most revealing segment addresses the CERN Council's rules of procedure , which de Jong personally wrote. He argues that formal rules are not bureaucratic overhead but essential collaborative infrastructure. Rules about who can raise which topics, how far in advance proposals must be submitted, how many discussion cycles are required before decisions , these structures prevent the chaos that destroys large-scale cooperation. He even found that insisting on formal dress changed the atmosphere of meetings, producing more civilized and productive deliberation. On the relationship between competition and collaboration in science, de Jong is nuanced. Large collaborations contain intense internal competition , for resources, recognition, and intellectual priority. The structure must channel this competition productively rather than suppress it. When collaborations fail, it is usually because personal conflicts override shared scientific goals, or because institutional incentives reward individual achievement over collective contribution. The discussion connects particle physics governance to broader questions about democratic decision-making. The CERN Council operates as a quasi-diplomatic body where half the representatives are professional diplomats and decisions commit countries to decades of financial obligation. The parallels to international climate negotiations and EU governance are direct. De Jong's perspective on what makes collaboration sustainable is structural rather than psychological: have clear rules, enforce them consistently, document everything, and ensure that the process for raising and resolving disagreements is transparent and predictable. Human nature does not need to change; the architecture of interaction does. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Margaret Levi on institutional design and communities of fate

Mon, 30 Mar 2026 12:53:09 GMT

Why do some people sacrifice their income, freedom, or even their lives for strangers who can never repay them? Political scientist Margaret Levi unpacks the concept of "communities of fate" and reveals how institutional design determines whether collaboration produces solidarity or exploitation. Subscribe for more episodes on the science of real-world collaboration. Margaret Levi, director of Stanford's Center for Advanced Study in the Behavioral Sciences and one of the most influential scholars of institutional governance, brings decades of research on labor unions, citizen-government relations, and organizational design to a conversation about what makes collaboration durable under pressure. Her central concept, the community of fate, describes groups where members willingly bear personal costs for the benefit of distant others they will never meet. Levi's research on labor unions revealed that certain organizations achieved this extraordinary level of solidarity while others, structurally similar, did not. The difference was not ideology or charisma but institutional architecture: the rules, norms, and governance arrangements that either enabled or blocked collaborative behavior. The conversation explores how institutions shape collaboration without determining it. Levi draws a critical distinction: institutions do not directly shape behavior in a behaviorist sense. Instead, they create conditions under which certain norms can arise through social interaction. When a government credibly delivers on its promises and punishes free riders, citizens find it easier to act on their ethical commitments. When institutions fail to enforce reciprocity, even well-intentioned people retreat into self-preservation. Trust emerges as the mechanism linking institutions to collaboration. Levi describes "contingent consent" , the willingness to comply with collective demands when you trust that others will do the same and that violators will face consequences. This is not blind trust but rational trust grounded in institutional credibility. When that credibility erodes, as it has in many democracies, collaboration collapses from the bottom up. The discussion addresses the tension between self-interest and ethical commitment directly. Levi rejects the idea that humans are purely self-interested or purely altruistic. Everyone carries both impulses; the question is which institutional environment activates which tendency. Her research shows that well-designed organizations can expand the circle of concern far beyond what individual psychology would predict. On the question of changing humans to improve collaboration, Levi refuses the premise. She argues that the task is not to change human nature but to understand it accurately and design arrangements that enable people to be the best version of themselves rather than the worst. The answer lies in institutional design, not genetic engineering. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Rafael Malpica-Padilla on religious collaboration and Lutheran Church

Mon, 30 Mar 2026 12:50:12 GMT

What happens when a global religious organization operating in 90 countries tries to practice genuine collaboration instead of top-down mission work? Rafael Malpica-Padilla, executive director of the Evangelical Lutheran Church in America's global mission, reveals how theology, power dynamics, and neighbor love reshape what partnership means across cultures. Subscribe for more episodes on collaboration in practice. Rafael Malpica-Padilla brings a perspective rarely heard in discussions of organizational collaboration: that of a religious leader managing partnerships across 90 countries while navigating the tension between institutional power and authentic mutuality. Born and raised Lutheran in Puerto Rico, ordained as a pastor, elected bishop of the Caribbean synod, and now leading the ELCA's global Service and Justice division, his trajectory spans local parish work to international diplomacy. His definition of collaboration rests on three pillars: differentiation (understanding what each partner uniquely brings), complementarity (identifying where skills and competencies intersect), and capacity for implementation. But the conversation quickly moves beyond frameworks into the messy reality of practicing these principles across vast cultural and economic divides. The central tension Malpica-Padilla describes is the shift from a mission model , where Western churches send resources and expertise to "receiving" countries , to a companionship model built on mutual respect and shared learning. This transformation required the ELCA to confront its own institutional power honestly. When you control the funding, genuine partnership demands constant vigilance against the subtle ways money distorts relationships. The conversation explores how religious belief both enables and complicates collaboration. Shared faith provides a powerful foundation for trust and common purpose, but theological differences, even within the same denomination, can fracture partnerships. Malpica-Padilla describes navigating disagreements over social issues where companion churches in different countries hold fundamentally different positions, requiring the organization to maintain relationship without demanding uniformity. On the role of technology and social media, Malpica-Padilla raises a concern that connects directly to collaboration: the way platforms profit from hate and misinformation undermines the social fabric that makes cooperation possible. From a theological perspective, he frames this as a question about what Jesus of Nazareth , not the institutional Christ constructed by sociopolitical ideologies , would say about these dynamics. His assessment of humanity's collaborative capacity is honest: trapped between Luther's negative anthropology (humans as "a bag full of worms") and Marx's positive anthropology (which failed because it could not account for sin). The answer lies not in optimism or pessimism but in work , holding governments accountable, building resilient communities, and recognizing that sufficient resources exist for everyone. If he could change one thing, it would be to give every human being neighbor love , the capacity to displace attention from your own needs and concentrate on serving others. Not conversion, but the fundamental reorientation that makes collaboration possible. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Nandita Chaudhary on family dynamics and cultural psychology

Mon, 30 Mar 2026 12:47:25 GMT

What can Indian family dynamics teach us about collaboration at every scale? Developmental psychologist Nandita Chaudhary reveals why affection, trust, and empathic leadership are the invisible infrastructure behind every successful partnership , from raising children to running organizations. Subscribe and follow for more conversations on how collaboration works in practice. Nandita Chaudhary, a scholar in child development, family studies, and cultural psychology, joins Paul Verschure and Julia Lupp to explore collaboration through the lens of family life , a perspective rarely examined in organizational or scientific contexts. Drawing on decades of fieldwork with Indian families and international academic experience, Chaudhary offers insights that challenge Western-centric models of teamwork and leadership. The conversation begins with Chaudhary's formative experience as a Fulbright scholar, where she encountered the hidden power dynamics of international academic collaboration. Arriving in the U.S. as an expert in her field, she was told she was there to learn , an imbalance that shaped her understanding of how collaboration can mask hierarchy. Growing up in a large Indian family had equipped her to read social cues, but the experience revealed how cultural assumptions about knowledge and authority distort collaborative relationships. From there, the discussion turns to family as the original collaborative unit. Chaudhary identifies commonality of purpose, mutual consideration, and affection as the core ingredients. She argues that successful collaboration requires genuine respect for the other person, not just their output, and that collaborations built purely on contractual obligation rarely produce meaningful results. Her example of contributing data to a 36-country study, only to be treated as a passive supplier rather than an intellectual partner, illustrates how extraction masquerades as collaboration. Cross-cultural observations anchor the conversation in concrete detail. Chaudhary describes how something as simple as the absence of pacifiers in India led to a research inquiry , sparked by seeing pacifier trees in Denmark. Collaboration, she argues, is necessary not only to understand others but to understand oneself. Difference is the catalyst. On leadership, Chaudhary makes a distinctive claim: the most important quality for sustaining collaboration is not strategic vision but personal warmth , the ability to draw people toward you. She illustrates this with a story about a daycare caretaker whose value was measured not by stimulation metrics but by whether children ran to her. This quality, she argues, should be present at every node of a collaborative network. The conversation addresses trust directly. Chaudhary describes how large-scale academic collaborations often fail because participants feel surveilled rather than supported. Without the familial template of mutual care, institutional collaboration becomes transactional and fragile. When asked whether humanity can achieve collaboration at the scale our challenges demand, Chaudhary is unequivocal: yes. She points to the global vaccine effort as evidence, while acknowledging imperfections. Her parting insight invokes the Dalai Lama's emphasis on compassion, understanding the situation of the other person, as the missing element in most collaborative frameworks. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Edward Slingerland on religion and collaboration and alcohol and society

Mon, 30 Mar 2026 12:44:58 GMT

Why did ancient civilizations bury 20% of their GDP in tombs and turn half their grain into beer? Edward Slingerland, scholar of Chinese philosophy and cognitive science of religion, argues that religion and alcohol are not evolutionary mistakes but the hidden engines of large-scale human collaboration. Subscribe for more episodes exploring the deep roots of how humans work together. Edward Slingerland brings an extraordinary interdisciplinary range to this conversation: early Chinese philosophy, comparative religion, cognitive science, and evolutionary biology. His research asks why humans engage in behaviors that appear enormously costly, religious ritual, alcohol consumption, yet persist across virtually all known societies for thousands of years. The central argument is counterintuitive: religion and chemical intoxicants, particularly alcohol, evolved as social technologies that enable collaboration at scales beyond what our tribal psychology naturally supports. Humans are wired for small-group cooperation , roughly 150 individuals. Scaling beyond that requires mechanisms to build trust between strangers, and both religion and alcohol serve this function. Slingerland explains how alcohol works as a collaboration tool through its effect on prefrontal cortex function. At moderate doses, it reduces the executive control that makes us strategic and self-interested, creating a temporary state of openness, creativity, and genuine emotional signaling. This is why business deals, diplomatic negotiations, and creative collaborations have historically involved drinking together , it provides a credible signal of trustworthiness that cannot be easily faked. Religion operates through a different but complementary mechanism. By imposing costly commitments, taboos, rituals, resource sacrifice, religious practice signals genuine group membership. The terracotta army buried by the first emperor of Qin represented an enormous economic cost, but societies that invested in such "wasteful" religious infrastructure consistently outcompeted those that did not, because the shared commitment created social cohesion at scale. The conversation connects these historical insights to contemporary challenges. Slingerland argues that modern secular societies have dismantled the collaborative infrastructure that religion provided without replacing it. The result is visible in the tribalization of issues like vaccine acceptance , where rational evidence should suffice but does not, because the underlying trust mechanisms have eroded. On engineering new forms of collaboration, Slingerland is cautiously hopeful. His database of religious history project aims to identify common features of successful religions, which could theoretically inform the conscious design of new collaborative frameworks , perhaps ecological movements that incorporate the binding mechanisms religion has always provided. When pressed on what he would change about humans, Slingerland refuses to answer definitively , any modification to selfishness could have unpredictable effects on parenting, friendship, and agency. His practical suggestion: a self-limiting alcohol absorption system that keeps everyone at the optimal 0.08 sweet spot. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Annie Sparrow on global health and public health

Mon, 30 Mar 2026 12:42:27 GMT

On an island in eastern Congo, 200,000 people live with a life expectancy of 26 years and half a dozen doctors. Pediatrician and public health scholar Annie Sparrow works in places like this, and in conflict zones from Syria to Australian refugee camps, to understand what collaboration in global health actually requires when lives are on the line. Subscribe for more episodes on real-world collaboration. Annie Sparrow, from the Icahn School of Medicine at Mount Sinai, brings a perspective forged in the most extreme conditions public health can encounter. Her career spans pediatric intensive care in the UK, advocacy for children in Australian refugee detention, frontline medical work in the Democratic Republic of Congo, and high-profile challenges to the WHO and the International Olympic Committee over their COVID-19 responses. The conversation opens with Sparrow's transition from the ivory tower of pediatric intensive care to the realities of global health in conflict zones. Working in Australian refugee camps , where asylum seekers were labeled illegal queue jumpers and criminals , catalyzed an extraordinary cross-specialty medical collaboration. Pediatricians, psychiatrists, surgeons, and family medicine practitioners who normally never communicate came together around a shared moral imperative: getting children out of detention. That collaboration succeeded, and it became Sparrow's template for effective advocacy. The discussion moves to Syria, where Sparrow's work documenting the weaponization of healthcare , systematic attacks on hospitals, medical workers, and health infrastructure , revealed both the power and limits of international collaboration. She describes how the WHO's failure to act independently of member state politics, particularly regarding Syria and later COVID-19, demonstrates what happens when institutional collaboration is captured by geopolitical interests. Sparrow's critique of the global COVID-19 response is precise and evidence-based. She challenged the IOC's decision to hold the Tokyo Olympics during the pandemic, publishing peer-reviewed analysis showing the inadequacy of safety measures. The response from organizers was silence , illustrating how institutional power can simply ignore scientific collaboration when the economic stakes are high enough. On the mechanics of effective collaboration, Sparrow emphasizes that public health cannot be reduced to technology. Contact tracing apps, she argues, have shifted the dial not one iota despite massive investment, because there is no app for public health. Effective collaboration requires going out and doing the work , building relationships, understanding local context, and investing in the unglamorous infrastructure of community health. The conversation addresses the tension between profit and public health directly. Sparrow identifies the addiction to money, the Homo economicus model carried to its logical extreme, as the single greatest barrier to global health collaboration. Pharmaceutical companies will not change because drugs are the most profitable industry on the planet. The question is whether humanity can recognize the limits of capitalism before the human cost becomes unsustainable. Despite everything, Sparrow believes sustainable collaboration in global health is possible. She points to the new connections and partnerships the pandemic enabled as evidence. "Maybe I am condemned by hope," she says , a phrase that captures both the difficulty and the necessity of the work. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Meg Jones on United Nations and international collaboration

Mon, 30 Mar 2026 12:37:00 GMT

From Doctors Without Borders to the United Nations to Fairtrade International , what does a career spent inside the world's largest collaborative institutions reveal about why global cooperation works and when it fails? Meg Jones unpacks the mechanics of international collaboration and why compassion may be the most underrated driver of collective action. Subscribe for more episodes on real-world collaboration. Meg Jones has spent her career at the intersection of international development, trade policy, and humanitarian action. Her trajectory , from studying Japan's post-war reconstruction as an exchange student, through 15 years at the United Nations, to leading Fairtrade International's Australia/New Zealand operations , gives her an unusually grounded perspective on collaboration across cultures, institutions, and power asymmetries. Jones defines collaboration through an African proverb: "Alone I can go fast, together we go far." But she adds critical structure to that idea. Effective collaboration requires four elements: a shared vision, clarity about what each participant contributes and receives, agreed leadership, and trust. Without trust, she argues, nothing survives difficulty , and difficulty is guaranteed. The United Nations serves as her primary case study. Established from the rubble of World War II to ensure atrocities would never recur, the UN represents collaboration's highest ambition: sovereign nations voluntarily coordinating without surrendering sovereignty. Jones traces how this framework produced the Millennium Development Goals and the Sustainable Development Goals , concrete examples of 193 countries agreeing on shared targets despite radically different interests. But the conversation does not shy away from failure. Jones describes how UN collaborations break down when institutional incentives reward individual agency performance over collective impact, when trust erodes between partners operating at different speeds, and when the gap between headquarters strategy and field reality becomes too wide. Her experience with trade facilitation in developing countries illustrates how collaboration must adapt to local context or risk irrelevance. The discussion turns to religion and spirituality as underexplored dimensions of collaboration. Jones argues that faith traditions have historically provided the moral frameworks and community structures that sustain cooperation across generations , a resource that secular institutions often overlook. On sustainability, Jones makes a pointed argument: if the science of collaboration does not integrate environmental sustainability as a core principle, it will miss the defining challenge of our time. The disposal of billions of COVID masks at $400 per biohazard bag illustrates how even crisis response generates new collaborative problems. When asked what she would change about humans, Jones chooses compassion , the ability to see past visual, linguistic, and cultural barriers to recognize shared vulnerability. If every person looked at another and saw someone who could catch COVID, collaboration would follow naturally. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Rob van der Laarse on european collaboration and cultural heritage

Mon, 30 Mar 2026 12:33:12 GMT

Europe's greatest collaborative achievement , transforming a war-devastated continent into one of the world's richest regions , is now at risk because cooperation has replaced genuine collaboration. Heritage scholar Rob van der Laarse explains why shared memory, contested landscapes, and the unresolved traumas of the twentieth century hold the key to whether Europe survives the twenty-first. Subscribe for more episodes on collaboration and its relationship to conflict. Rob van der Laarse, historian and founder of the Amsterdam School for Heritage and Memory and Material Culture, brings a perspective that connects cultural memory, conflict landscapes, and European geopolitics to the question of collaboration. His career spans 20 years in history departments, pioneering work in heritage and memory studies, and advisory roles for Dutch government ministries on war heritage and digitalization. The conversation opens with van der Laarse's central distinction: Europe has a system of cooperation, not collaboration. Countries cooperate, they coordinate, negotiate, trade, but they do not collaborate in the sense of working on the same problems together, thinking collectively, and sharing expertise to address real challenges. This distinction, he argues, explains why the European project is losing momentum despite its institutional architecture. Van der Laarse traces this problem through the lens of cultural heritage and contested memory. His work on "Terrorscapes" , landscapes shaped by twentieth-century violence, from Holocaust sites to Cold War borders , reveals how unresolved historical trauma continues to fracture European collaboration. When Romanian politicians sit in the European Parliament's social democratic faction but come from a completely different historical and political context, and when they speak different languages and carry different memories, the result is what he calls "fictive cooperation" , the appearance of collaboration without its substance. The discussion addresses the practical mechanics of genuine collaboration through van der Laarse's fieldwork experience. Projects like IC_ACCESS and ARISE brought together universities and heritage sites across Europe to work on shared problems , visualization technology, digital preservation, the interpretation of conflict landscapes. What made these projects collaborative rather than merely cooperative was physical co-presence: working on the same site, thinking about the same problems, discussing constantly. On the relationship between heritage and contemporary politics, van der Laarse is direct. Europe's failure to discuss resource competition, trade systems, and geopolitical positioning , while China buys the harbor of Athens and Silk Road dynamics reshape global power , represents a catastrophic failure of collaborative intelligence. Academics, he argues, should be on advisory boards discussing long-term developments, not just competing for research funding. His proposed change is both simple and radical: reinvent collaboration at every European level, starting with schools. Not fictive exchanges between twin towns, but genuine shared work on real problems , environmental sustainability, building conservation, forestry management , where expertise is shared across borders to produce tangible results. The European research project offers a glimpse of what this could look like, but even scientists struggle to explain to colleagues in their own university what they are actually doing. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Deepa Narayan on power and love and global development

Mon, 30 Mar 2026 12:20:05 GMT

What if the missing ingredient in every failed development project, broken institution, and dysfunctional team is not better rules but love? Deepa Narayan, who spent 35 years working on global poverty, including 20 years with the UN and World Bank, argues that power without love produces coercion, and love without power produces sentimentality. Real collaboration requires both. Subscribe for more episodes on how collaboration works in practice. Deepa Narayan brings an unusual combination of lived experience and institutional authority to the question of collaboration. She has lived in villages for a decade working with women's groups, served as senior advisor to the World Bank, and conducted hundreds of interviews across India on masculinity, femininity, and the hidden dynamics that determine whether people cooperate or dominate. Her framework is built on two pillars: power and love. Most development work and organizational theory focuses exclusively on power and rules. Narayan argues this is why so much of it fails. She identifies three types of power , power over (coercion), power with (shared), and power within (internal) , and insists they cannot be separated. In practice, most large organizations and families default to power over, even when they claim otherwise. The love component is not sentimental. Narayan defines it as the human longing for connection, appreciation, and belonging , needs so fundamental that when they are violated, individuals and societies break down. Her research on masculinity in India reveals how boys as young as seven are taught to suppress vulnerability, dominate others, and equate manhood with control. This socialization produces adults incapable of the emotional openness that genuine collaboration requires. The conversation connects personal and structural dynamics with striking directness. Narayan asks why one in three women worldwide experiences physical violence from intimate partners, and traces the answer through the same power dynamics that undermine institutional collaboration. When organizations reward dominance and punish vulnerability, they replicate at scale what dysfunctional families produce at the individual level. On development practice, Narayan draws from analyzing hundreds of successful community-led groups. The pattern is consistent: groups that sustain collaboration over time combine clear power-sharing structures with genuine care for members as whole human beings. Groups that focus only on rules and incentives eventually collapse when external pressure arrives. Her analysis of education is particularly pointed. Schools, she argues, deepen gender stereotypes rather than challenging them, perpetuating the very dynamics that make collaboration difficult. Yet research shows that when children receive different messages, they influence their parents' decisions , because those decisions come from love. Every channel for changing minds and hearts must be used simultaneously. When asked what she would change about humans, Narayan's answer is immediate: fill every human being with love, the feeling of being loved and supported by a hundred people, then let them go to do their own thing. It is the lack of feeling appreciated and valued that destroys individuals and societies alike. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Larry Kramer on philanthropy and Hewlett Foundation

Mon, 30 Mar 2026 12:15:20 GMT

A foundation giving away $600 million a year still cannot solve climate change alone. Larry Kramer, president of the Hewlett Foundation, explains why philanthropy's greatest challenge is not funding but collaboration , and why the biological instinct to divide the world into "us vs. them" may be the single biggest barrier to solving collective problems. Subscribe for more on how collaboration works at scale. Larry Kramer brings a unique trajectory to this conversation: constitutional law professor at Chicago, Michigan, and NYU, then dean of Stanford Law School, and since 2012 president of one of the world's largest philanthropic foundations. His perspective bridges academic theory, institutional governance, and the practical realities of deploying hundreds of millions of dollars toward systemic change. The central argument is that philanthropy is collaboration by definition , and most of it is done badly. Good philanthropy, Kramer explains, is a genuine partnership between funder and grantee, where both sides recognize their respective strengths. Grantees have frontline knowledge; foundations have cross-field perspective. The challenge is preventing the power asymmetry of money from distorting the relationship. Trust is what makes the difference: it allows grantees to report difficulties honestly and foundations to receive critical feedback without defensiveness. Kramer extends this to collaboration between foundations. The Hewlett Foundation's climate work illustrates the complexity: achieving meaningful impact on a problem this large requires coordinating with dozens of other funders, each with different theories of change, different timelines, and different institutional cultures. The practical mechanics involve everything from co-funding arrangements to informal trades , "if you invest in this, we'll fund something aligned with your priorities." The conversation addresses a tension rarely discussed publicly: the relationship between a foundation's endowment investments and its mission. Kramer describes the challenge of aligning investment portfolios with programmatic goals when the financial markets that generate endowment returns may conflict with the social outcomes the foundation seeks. Critics oversimplify; the reality involves genuine tradeoffs that require nuanced collaboration between investment teams and program staff. On the architecture of effective collaboration, Kramer identifies several failure modes: organizations that confuse alignment with agreement, leaders who cannot tolerate ambiguity, and institutional cultures that reward individual credit over collective impact. His experience at Stanford Law School , where faculty collaboration required navigating enormous egos and competing intellectual frameworks , informs his approach at Hewlett. Kramer frames humanity's three largest challenges as climate and biodiversity, the survival of democracy, and the relationship between government, markets, and society. Almost every other problem connects to these three. His assessment oscillates between days of despair and cautious optimism, but he is clear that extinction is not inevitable , the question is how far along the continuum of disaster we will slide. If he could change one thing about humans, it would be the biologically embedded tendency to frame the world as us versus them. Global problems require global governance, but almost nobody can embrace that idea because tribal identity is wired into our genetic structure. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Naina Agrawal-Hardin on sunrise movement and climate activism

Mon, 30 Mar 2026 12:11:39 GMT

How does a decentralized youth movement with 500 local hubs coordinate climate action at the national level without losing its grassroots soul? Naina Agrawal-Hardin, organizer with the Sunrise Movement and the US Youth Climate Strike Coalition, reveals the architecture of "power with" , and why radical decentralization is both the movement's greatest strength and its hardest challenge. Subscribe and follow for more from this series on real-world collaboration. Naina Agrawal-Hardin joins Paul Verschure and Jenna Bednar to explain how the Sunrise Movement , the youth-led organization behind the Green New Deal's entry into mainstream American politics , actually functions as a collaborative system. Drawing on her experience as a political and partnership strategist, Agrawal-Hardin describes a structure where over 500 autonomous local hubs organize under shared principles while a national staff coordinates strategy, campaigns, and relationships with federal policymakers including the Biden administration. The conversation centers on a fundamental tension in large-scale collaboration: how to maintain coherence without hierarchy. Agrawal-Hardin distinguishes between "power over" and "power with," explaining that Sunrise deliberately builds collective power among young people rather than concentrating authority. Local hubs develop their own demands, share strategies with each other, and retain autonomy over their campaigns. National leadership provides infrastructure and strategic direction but does not presume to know local contexts better than the people living in them. The discussion reveals how conflict resolution, communication breakdowns, and the challenge of proximity to political power create real friction between grassroots organizers and national staff. Agrawal-Hardin is candid about moments when the national organization has been too directive or insufficiently transparent, and how feedback loops and open calls with grassroots leaders have been used to repair trust. Her personal trajectory , from rural roots in Bihar and Appalachia to organizing at the national level as a teenager , illustrates how lived experience with climate vulnerability drives collaborative commitment. Key topics include the theory of change combining people power and political power, how decentralized movements maintain strategic coherence, the role of storytelling and shared narrative in sustaining collaboration, conflict between local autonomy and national coordination, and why the Green New Deal represents a vision broad enough to unite diverse communities around climate action. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Robert Axelrod on game theory and prisoner's dilemma

Mon, 30 Mar 2026 11:18:33 GMT

What do cancer cells, cyber warfare, and the prisoner's dilemma have in common? They all reveal how collaboration really works , and why it breaks down. Listen to political scientist Robert Axelrod explain the hidden architecture of cooperation, from tumor biology to international security. Subscribe and follow for more from this series on real-world collaboration. Robert Axelrod, one of the most influential thinkers on cooperation and game theory, joins Paul Verschure, Jenna Bednar, and Andreas Roepstorff for a wide-ranging conversation that moves from evolutionary biology to geopolitics with remarkable coherence. Axelrod draws on decades of interdisciplinary work to unpack what collaboration actually requires , and where our instincts betray us. The conversation opens with a deceptively simple distinction: cooperation is broad, but collaboration demands specialization, a common product, and mutual dependence. Axelrod illustrates this through his own research on cancer, where genetically distinct cell lines cooperate within a tumor , one disabling the immune system, another promoting blood supply , without any rational intent. This biological collaboration mirrors human teamwork in structure, even without consciousness or goals. From there, the discussion moves into game theory territory. Axelrod explains how the prisoner's dilemma operates inside collaborations: each participant is tempted to shirk, but mutual effort produces the best outcome. The key insight is that collaboration does not require shared goals, complete information, or even rationality , it requires an appreciation that your choices affect the other side and theirs affect you. The most striking segment addresses the psychology of vengeance and its role in derailing cooperation at scale. Using Pearl Harbor and 9/11 as case studies, Axelrod shows how emotional responses can override rational calculation at both individual and national levels , and why understanding this dynamic is critical for avoiding escalation in domains like cyber conflict. Trust emerges as the essential infrastructure. Axelrod introduces his concept of "the shadow of the future": collaboration sustains itself when both parties believe the relationship will continue and the future is worth investing in. Without that temporal horizon, trust collapses and so does cooperation. On the architecture of collaboration, Axelrod identifies key variables: whether goals are externally imposed or internally negotiated, the degree of specialization between participants, and the communication structures that allow mutual understanding across disciplinary boundaries. His collaboration with evolutionary biologist William Hamilton exemplifies this , one knew about beetles, the other about war, and neither could have produced the work alone. The conversation closes with Axelrod's surprising answer to what he would change about humans to improve collaboration: nothing. The side effects of any modification are too unpredictable. Instead, he points to sustainable collaboration already functioning at global scale, the U.S. dollar as a universal medium of exchange, while acknowledging that climate change represents the hardest test of cooperative capacity humanity has ever faced. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Theo Mulder on scientific collaboration and research consortium

Mon, 30 Mar 2026 11:14:18 GMT

What happens when you publicly criticize five major research institutions for not collaborating , and they call you back to fix it? Neuroscientist Theo Mulder shares the inside story of building a 200-person scientific consortium from scratch, and why trust and the willingness to share are the only things that make large-scale research collaboration work. Subscribe for more episodes on the science of collaboration. Theo Mulder's career arc reads like a case study in escalating collaborative complexity: from experimental neuropsychologist to professor of movement disorders, then director of 17 institutes at the Royal Netherlands Academy of Sciences, and finally architect of a major interdisciplinary consortium linking five research partners. Each transition taught him something different about what makes collaboration succeed or fail at scale. The conversation opens with a candid origin story. In 2017, Mulder gave a public lecture criticizing five Dutch institutions , Radboud University, the University Hospital, Sint Maartenskliniek, and the Technical University in Twente , for failing to cooperate on human movement disorders despite all being specialized in the field. He expected nothing to come of it. Instead, the boards called him and said "you have a point," launching a consortium of 200 researchers that he chaired for four years. On the defining features of collaboration, Mulder is direct: trust and the willingness to share. He cites a sign in Groningen University Hospital: "If you cannot share, you cannot multiply." Political pressure to form large consortia is real, European science policy increasingly demands it, but without genuine trust between participants, no amount of structural incentive produces real collaboration. His experience directing the Royal Academy institutes reveals the limits of top-down collaboration. Within individual domains, humanities, biology, neuroscience, cooperation existed naturally. Between domains, it did not. Mulder learned that interdisciplinary collaboration cannot be mandated; it must be cultivated through shared problems that genuinely require multiple perspectives. The discussion addresses a practical insight often overlooked: the importance of engaging junior researchers, not just principal investigators. Mulder argues that PhD students and early-career scientists carry the collaborative flame forward as multi-year projects evolve. When COVID prevented in-person symposia, this pipeline broke , you cannot build a scientific community through boxes on a screen. On COVID's broader lessons, Mulder notes that the pandemic proved collaboration works under pressure: vaccine development that normally takes years was accomplished in eighteen months through unprecedented scientific cooperation, driven by trust, willingness to share, and societal urgency. The lesson is that humans can collaborate at extraordinary speed when the stakes are clear. His view of human nature is balanced: Homo sapiens is a group animal with both angel and devil inside. Cooperation is one of our core social needs, alongside physical contact and the sharing of thoughts through gathering. If he could change one thing, it would be to lower the level of jealousy , the quiet saboteur of every collaborative enterprise. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Susan Fitzpatrick on scientific collaboration and interdisciplinary research

Mon, 30 Mar 2026 11:03:34 GMT

There is nothing in science that is not collaborative , yet our reward systems actively punish teamwork. Susan Fitzpatrick, president of the James S. McDonnell Foundation, explains why interdisciplinary research fails, what makes small-scale collaboration succeed, and why billion-dollar brain initiatives may be asking the wrong questions. Subscribe for more episodes exploring real-world collaboration. Susan Fitzpatrick brings 28 years of experience funding scientific research to a conversation that cuts through the mythology of the lone genius. Starting from her own trajectory , a biochemist who discovered the power of science communication while recording textbooks for blind students , she traces how the McDonnell Foundation evolved from outsourcing grant management to actively building research communities at the edges of established disciplines. The core argument is precise: true collaboration requires synergy, not just proximity. Fitzpatrick distinguishes between implicit collaboration (building on others' published work) and active collaboration (combining knowledge from multiple sources to answer questions no single discipline can address). She illustrates this with the foundation's work on Williams Syndrome, where understanding the path from genetic deletion to behavioral phenotype demands geneticists, neuroimagers, cognitive scientists, and clinicians working together , not just side by side. The conversation reveals hard-won lessons about what makes interdisciplinary collaboration work. Fitzpatrick identifies the critical failure point: researchers who arrive at collaborative workshops already knowing what they want to say, rather than being willing to have their understanding changed. The foundation learned to screen for intellectual humility , people who could tolerate not being the expert in the room. On large-scale science, Fitzpatrick is direct. She argues that massive brain initiatives like the European and American brain projects have generated useful tools but failed to answer fundamental questions , because the questions themselves were poorly defined. "They keep saying the brain, but what brain? Whose brain? Whose brain when? Whose brain in which context?" She contrasts this with CERN, where the question was specific enough to organize thousands of collaborators effectively. The discussion addresses the perverse incentives in academic science that undermine collaboration. Tenure committees demanding single-authored publications, the pressure to brand individual contributions, and the marketing of originality all select against collaborative temperaments. Fitzpatrick suggests these systems have, to some extent, selected for sociopaths. Her proposed fix is both practical and philosophical: eliminate the scarcity mindset , the zero-sum assumption that someone else's gain means your loss. If she could CRISPR one thing, it would be that gene. The real barrier to collaboration is not structural but psychological: people who cannot see themselves in a shared future will not invest in building one. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Sten Grillner on Nobel Prize and scientific collaboration

Mon, 30 Mar 2026 10:58:48 GMT

How does the Nobel Prize actually work , and what does its century-old selection process reveal about collaboration in science? Neuroscientist Sten Grillner, a former member of the Nobel Committee, takes us inside the deliberation process and explains why small-scale discovery still outperforms industrial-scale science. Subscribe for more episodes on how real-world collaboration functions. Sten Grillner, renowned for his pioneering work on neural circuits controlling locomotion at the Karolinska Institute, joins Paul Verschure for a conversation that bridges bench science, institutional governance, and international scientific diplomacy. Having served on the Nobel Committee for 14 years and participated in organizations like IBRO and the OECD Global Science Forum, Grillner offers a rare insider perspective on how collaboration operates at the highest levels of science. The conversation opens with Grillner's research trajectory , decades spent analyzing the neural networks that coordinate movement, using the lamprey as a model organism. His discovery that basal ganglia circuitry has been conserved for 500 million years, from lamprey to humans, demonstrates how working on an unfashionable model system can yield fundamental insights that bandwagon science misses entirely. The Nobel Prize selection process emerges as a fascinating case study in structured collaboration. Grillner describes a system designed over a century ago that still functions: international nominations, written evaluations, historical records that allow committees to revisit past deliberations, and rotating membership that prevents institutional capture. The critical design feature is institutional memory , decisions are not made in isolation but against a documented history of prior assessments. When the system fails, the reasons are instructive. The 2017 Nobel Prize in Literature crisis, where internal conflicts within the Swedish Academy forced a one-year cancellation, illustrates what happens when collaboration breaks down through interpersonal dysfunction. Grillner notes that science prizes have avoided similar crises partly because committee members rotate, whereas the Academy's lifetime appointments created irresolvable tensions. On the question of large-scale versus small-scale science, Grillner draws a clear distinction. Infrastructure projects like the Human Genome Project serve as enablers , platforms that allow individual researchers to ask questions they could not ask before. But novel discoveries remain the province of individual brains or small teams. The answer is not either-or, but the balance matters: jumping on bandwagons is expensive and rarely produces breakthroughs. His advice for improving scientific collaboration is characteristically direct: stop jumping on the bandwagon each time. Sometimes you have to look away from where everyone else is looking to find what matters. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Alexander Nuyken on digital health and healthcare transformation

Mon, 30 Mar 2026 10:50:59 GMT

The healthcare system is on the brink of collapse , not from disease but from cost. Alexander Nuyken, EY's Life Science Strategy Leader, explains how digital health is forcing an unprecedented collaboration between doctors, tech companies, hospitals, and patients, and why the stakeholders who resist this transformation will be the ones who disappear. Subscribe for more episodes on how collaboration reshapes industries. In this second conversation, Alexander Nuyken shifts from financial transactions to the digital transformation of healthcare , a domain where collaboration is not optional but existential. The current system of brick-and-mortar hospitals, in-person diagnostics, and fragmented patient data is economically unsustainable. Digital health offers a path forward, but only if radically different stakeholders learn to work together. Nuyken identifies three areas where digital health creates transformative value. First, data aggregation: the massive amounts of health data generated daily in hospitals and through patient activities are almost entirely lost. When aggregated across millions of patients, this data reveals patterns in disease development, treatment efficacy, and risk factors that individual doctor-patient interactions cannot capture. The diabetes example illustrates how correlating eating behavior with disease outcomes could enable preventive intervention at a stage when lifestyle changes still matter. Second, remote monitoring: keeping patients in their homes rather than warehousing them in expensive hospital infrastructure reduces costs while improving quality of life. Continuous monitoring of rehabilitation progress, disease trajectory, and vital signs can be conducted remotely, freeing hospital capacity for cases that genuinely require it. Third, diagnostic collaboration at global scale: connected telehealth solutions enable patients to consult the best experts anywhere in the world. Algorithms can handle the 995 out of 1,000 standard test interpretations, routing only the genuinely complex cases to human specialists , who might be in China, Finland, or the United States. The conversation addresses the resistance this transformation generates. Doctors face a dual threat: potential redundancy as AI handles routine diagnostics, and challenges to professional self-image when machine predictions contradict clinical judgment. Nuyken argues that doctors who view AI as a partner rather than a threat will be the ones who succeed , using technology to focus on complex cases while routine work is handled cost-efficiently. The collaboration challenge is structural. Healthcare involves an unusually complex stakeholder landscape: patients, doctors, hospitals, insurance companies, pharmaceutical firms, technology providers, and regulators , each with different incentives, timelines, and definitions of success. Digital health requires all of them to share data, align standards, and accept that their traditional roles will change fundamentally. On the question of impact, Nuyken is confident: digital health is already extending life expectancy through prevention, early monitoring, and better-informed treatment decisions. The trajectory is clear, even if the precise numbers are not yet measurable. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Martin McKee on public health and health policy

Mon, 30 Mar 2026 10:42:39 GMT

How do you translate academic research into policy that actually saves lives , across 50 countries, through political upheaval, and during a global pandemic? Public health scholar Martin McKee reveals why the gap between evidence and policy is not an information problem but a collaboration problem. Subscribe for more episodes on how real-world collaboration works. C. Martin McKee, professor of European public health at the London School of Hygiene and Tropical Medicine, has spent over 30 years building collaborative infrastructure between researchers and policymakers across Europe. His creation of the European Observatory on Health Systems and Policies , a partnership linking universities, the WHO, the World Bank, the European Commission, and multiple national governments , provides a masterclass in how to make knowledge useful to power. The conversation opens with a fundamental insight about academic-policy collaboration: researchers consistently provide information that policymakers do not need, delivered too late to matter. McKee's solution was to build a permanent interface , not a one-off advisory panel but an ongoing partnership where researchers and policymakers develop shared understanding over time. The Observatory has provided background material for most rotating EU presidencies and fed into G20 deliberations, demonstrating that sustained collaboration between knowledge and power is possible when the architecture is right. McKee traces the evolution of public health collaboration through concrete examples. His work building connections across Europe after the fall of the Berlin Wall in 1989 revealed how political transformation creates both opportunities and obstacles for health cooperation. Countries emerging from Soviet control needed health system reform but lacked the institutional frameworks for evidence-based policymaking. Building those frameworks required not just technical expertise but cultural sensitivity and long-term relationship investment. The discussion addresses the COVID-19 pandemic as both a triumph and failure of collaboration. McKee describes how the rapid development of vaccines demonstrated extraordinary scientific cooperation, while the political response in many countries revealed how easily collaboration breaks down when leaders prioritize short-term political survival over public health evidence. The UK's response serves as a case study in how institutional capture by ideological advisors can override established collaborative mechanisms. On disinformation, McKee connects media manipulation directly to public health outcomes. When powerful interests use racism and xenophobia to undermine the welfare state model , telling the working class that their suffering is caused by immigrants rather than austerity , the resulting social fragmentation destroys the trust that public health collaboration requires. Despite these challenges, McKee finds grounds for optimism in the evolutionary argument for cooperation: in any situation involving repeated interactions, collaboration produces better outcomes than competition. His proposed change to humanity is the art of listening , combined with the humility to recognize that no matter how powerful you are, something is always above you. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Ilona Schmiel on orchestral management and Tonhalle Zürich

Mon, 30 Mar 2026 10:39:16 GMT

How do you align 104 musicians, a world-class conductor, management teams, sponsors, and audiences toward a single artistic vision , while navigating a global pandemic? Ilona Schmiel, artistic and executive director of the Tonhalle-Gesellschaft Zürich, reveals the collaborative architecture behind one of Europe's oldest orchestras. Subscribe for more episodes on how collaboration works in practice. Ilona Schmiel's trajectory spans opera singing, the Olympic Winter Games opening ceremony in Lillehammer, Arena di Verona productions, and leadership of major German and Swiss musical institutions. At 30, she became the youngest artistic director in Germany , and a woman in a field dominated by men. Since 2014, she has led the Tonhalle Orchestra Zürich, founded in 1868 and recognized as Switzerland's top symphonic ensemble. The conversation reveals how orchestral collaboration operates as a layered system. At the artistic level, the chief conductor, Paavo Järvi, provides the vision. But translating that vision into organizational reality requires management to achieve the same level of quality through entirely different means: scheduling, logistics, communication, fundraising, and stakeholder alignment. The objective must be defined first; without it, participants talk past each other and never reach a result. Schmiel describes the orchestra's internal hierarchy as both enabling and constraining. The Western symphonic tradition prescribes clear roles, concertmaster, section leaders, individual musicians, creating a structure where collaboration happens within defined boundaries. But this hierarchy also means that when the conductor's interpretation conflicts with a musician's instinct, the collaborative process must absorb that tension without breaking. The discussion addresses the cultural dimension of collaboration directly. Managing an orchestra in Switzerland means navigating a consensus culture where decisions require broad buy-in. Schmiel contrasts this with more hierarchical organizational cultures, noting that Swiss consensus-building is slower but produces more durable commitment. The skill is learning to guide through consensus rather than imposing direction. COVID-19 tested every assumption about how the organization collaborates. Remote work broke down the informal communication channels that sustain trust between musicians and management. Schmiel learned that when in-person interaction disappears, communication must become clearer, more deliberate, and more polite , because there is no opportunity to explain context in person. The pandemic also forced a reckoning with relevance: if cultural institutions cannot demonstrate their value to society beyond entertainment, they will not survive the next crisis. On the broader role of arts organizations, Schmiel sees the Tonhalle as representing the human dimension of society , protecting and advancing what makes us human alongside economic considerations. This places her in a playing field with actors far beyond the musical world, requiring collaboration with policymakers, educators, and community organizations. When asked what she would change to improve collaboration, Schmiel's answer is practical: financial independence. With sufficient resources, organizations can pursue quality without compromise, and then return that value to sponsors and society. The constraint is not human nature but economic dependency. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Eva Wiecko on investment banking and Goldman Sachs

Mon, 30 Mar 2026 10:35:29 GMT

Every children's book teaches your kid to be the lone hero. Goldman Sachs Managing Director Eva Wiecko argues this hero culture is the single biggest obstacle to collaboration , in boardrooms, in society, and in how we raise the next generation. Listen to her perspective on what high-stakes M&A transactions reveal about human nature. Subscribe for more episodes on real-world collaboration. Eva Wiecko has spent nearly 14 years at Goldman Sachs, rising to Managing Director in investment banking's M&A department. Her perspective on collaboration is shaped by leading teams through some of Germany's largest corporate transactions , including restructuring the utility industry in a deal involving RWE, E.ON, and Innogy , where billions of euros and thousands of jobs depend on people with fundamentally different interests finding common ground. The conversation opens with Wiecko's description of two distinct collaborative environments. Internal team collaboration at Goldman is relatively straightforward: flat working styles, clear hierarchy, shared understanding of roles, and a talent acquisition process that selects for collaborative capacity. New teams form every few months and function quickly because everyone understands the operating model. Client collaboration is where the real complexity lives. Wiecko uses a hospital metaphor: Goldman is the hospital, the client is the patient who only comes because they need help. For the client, a merger or acquisition represents a once-in-a-generation transformation , extraordinarily stressful and unfamiliar. The first task is not strategy but trust: convincing the client that you are on the same side and will adapt your pace to their needs. This requires reading organizational culture, understanding power dynamics, and recognizing that the client's emotional state is as important as their financial position. The discussion addresses what happens when collaboration fails in high-stakes transactions. Wiecko describes how misaligned incentives between different advisory firms working on the same deal can create destructive competition disguised as collaboration. When each firm optimizes for its own fee structure rather than the client's outcome, the transaction suffers , and sometimes collapses entirely. On cross-cultural collaboration, Wiecko draws from transactions involving Chinese, Brazilian, and German companies. Her observation is that human motivations are remarkably consistent across cultures: people want financial security and the feeling that they are part of something important and relevant. The differences are in communication style and decision-making process, not in fundamental drives. The most striking insight concerns the model of human behavior that guides her work. It is not Homo economicus optimizing financial returns, but Homo economicus optimizing social relevance , the feeling of being heard, appreciated, and meaningful within a firm and society. Even people with enormous capital feel insecure when they feel irrelevant. This reframing of economic motivation as fundamentally social has direct implications for how collaboration is structured and sustained. When asked what she would change about humans, Wiecko targets the hero culture , and specifically how it is transmitted through children's books that celebrate the lone hero, not the team. Changing this narrative through education, she argues, would do more for collaboration than any structural reform. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Alexander Nuyken on financial transactions and Ernst & Young

Mon, 30 Mar 2026 10:30:47 GMT

What does the collapse of Lehman Brothers, the culture of Japanese banking, and a €40 billion utility deal reveal about how collaboration actually works in high-stakes financial transactions? Alexander Nuyken, EY's Life Science Strategy and Transactions Leader for EMEIA, shares lessons from two decades of deal-making across continents. Subscribe for more episodes on collaboration under real-world pressure. Alexander Nuyken's career reads like a stress test for collaborative capacity: lawyer turned investment banker at Lehman Brothers, survivor of the 2008 financial crisis, absorbed into Japanese bank Nomura, then UBS, and finally Ernst & Young , each transition demanding rapid adaptation to radically different organizational cultures and collaborative norms. The conversation opens with a practical insight about what EY actually hired Nuyken to do: not expand their competencies but expand their ability to understand what clients need. His role is to connect dots across sectors, geographies, and professional disciplines , a form of collaboration that requires translating between worlds that speak different languages even when they share the same vocabulary. Nuyken defines collaboration through the lens of financial transactions, where the stakes are measured in billions and the participants include lawyers, bankers, regulators, corporate boards, and sometimes governments across multiple jurisdictions. The defining feature is alignment around a common goal under extreme time pressure, where trust must be established rapidly because there is no time to build it organically. The most revealing segment addresses what happens when collaboration fails in this environment. Nuyken describes how cultural differences between organizations, not just national cultures but corporate cultures, create friction that can derail transactions worth billions. The Lehman-to-Nomura transition illustrated this viscerally: a high-intensity American trading culture absorbed into a Japanese institution with fundamentally different assumptions about hierarchy, communication, and decision-making speed. On remote collaboration, Nuyken was ahead of the curve. Long before COVID, his EMEIA role required managing teams across Europe, the Middle East, India, and Africa through video calls and digital tools. His observation is that technology enables connection but does not create trust , that still requires the human elements of reliability, transparency, and follow-through. The discussion connects financial collaboration to broader societal challenges. Nuyken argues that the same principles governing successful transactions , clear goal alignment, regulatory frameworks, trust between parties with different interests , apply to challenges like climate change, but at a scale where the regulatory mechanisms are far weaker and the goal fragmentation far greater. His proposed change to humanity is long-term thinking across generations: recognizing that we are not here just for our own good, and that failing to pass what we have inherited to the next generation represents our greatest collective failure. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.

Podcast with Yoram Vodovotz on inflammation and immune system

Sun, 15 Mar 2026 17:20:54 GMT

What if inflammation is not a disease but a communication system , one that becomes pathological only when its own signaling cascades spiral beyond the control mechanisms that normally contain them? Immunologist Yoram Vodovotz reframes inflammation as the body's intermediate-timescale information network, connecting injury detection to healing response, and explains why understanding its failure requires thinking at the level of whole-organism control rather than individual molecules. Subscribe for more from the Convergent Science Network podcast series. Yoram Vodovotz joins Paul Verschure and Tony Prescott to trace inflammation from its origins in single-cell stress responses through multi-organ coordination to the neural regulation of immune function via the vagus nerve. At its core, inflammation is communication: molecular pathways that connect an initial insult to a coordinated response. The problem arises when these same communication molecules , cytokines, damage-associated molecular patterns, coagulation factors , cross thresholds and become causative agents of disease rather than mere markers. Vodovotz illustrates this with examples ranging from mosquitoes fighting malaria parasites using the same inflammatory pathways as their human hosts to the deadly positive feedback loop between coagulation and inflammation following traumatic injury. The conversation builds toward a systems-level understanding of how organs mount distinct inflammatory responses on different timescales, with gut and lung tissues maintaining high thresholds against constant environmental exposure while internal organs respond immediately to any bacterial signal. Vodovotz argues that predefined organ-specific response patterns, shaped by evolutionary pressures, interact with neural control circuits, particularly vagal pathways, that monitor and modulate inflammation across the whole organism. When genetic variability makes an individual overly sensitive or the threat exceeds containment capacity, the system fails and inflammation becomes the disease itself. Key topics include why inflammation may underlie all disease states, how autopoiesis and homeostatic self-maintenance connect to inflammatory control, the evidence for cross-organism transfer of inflammatory information between parasite vectors and hosts, why vagus nerve stimulation can outperform systemic drugs in treating inflammatory disease, and how computational models of organ-specific inflammatory dynamics could guide therapeutic intervention. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Vincent Hayaward on haptics and touch

Sun, 15 Mar 2026 17:17:57 GMT

Why is touch the most fundamental sense and yet the least understood? Haptics researcher Vincent Hayward argues that the field lacks the theoretical foundations that vision achieved decades ago , and that the key to unlocking touch lies in recognizing that mechanical sensing is inherently non-local, dynamic, and distributed far beyond the skin. Subscribe for more from the Convergent Science Network podcast series. Vincent Hayward joins Paul Verschure and Tony Prescott for a provocative assessment of the state of haptic science. Starting from the observation that touch may be the evolutionarily oldest modality , present in paramecia and arguably implicit in molecular shape interactions , Hayward explains why the principles governing touch cannot simply be borrowed from vision. The mechanical reality of being a viscoelastic solid means that any contact event has consequences that propagate far from the point of stimulation: a Braille dot creates a disturbance five to six millimeters wide, and frictional signals from a fingertip can be detected throughout the entire arm, even when the hand itself is anesthetized. The conversation dismantles several textbook assumptions. The separation between proprioception and tactile sensing is artificial , thousands of skin afferents, not muscle receptors, tell your brain where your fingers are during hand closure. The fingertip exhibits a remarkable mechanical invariance, maintaining the same elasticity across three orders of magnitude of applied load , a property that appears unique to primates and essential for simultaneous grasping and sensing. Hayward argues that the nervous system is tuned not to skin deformation per se but to the mechanical events that objects create, collisions, friction, compliance, and that temporal coding may be far more important than spatial mapping. Key topics include why there has been no breakthrough experiment in haptics comparable to those in vision, the evidence that synchronized afferent timing rather than spatial location signals contact with a rigid surface, why artificial touch systems remain primitive compared to computer vision, and what a proper computational theory of touch would need to explain. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Viktor Jirsa on epilepsy and virtual brain

Sun, 15 Mar 2026 17:14:34 GMT

What if epilepsy is not a broken circuit but a network pushed into the wrong dynamical state , and what if computational models could guide surgeons to intervene without destroying healthy tissue? Physicist Viktor Jirsa explains how whole-brain mean field models are transforming epilepsy from a localized lesion problem into a network science challenge with direct clinical implications. Subscribe for more from the Convergent Science Network podcast series. Viktor Jirsa joins Paul Verschure and Tony Prescott to describe why epilepsy offers a uniquely tractable entry point for computational neuroscience. Unlike schizophrenia or depression, epileptic seizures produce unmistakable spatiotemporal signatures , high-frequency oscillations visible to the naked eye in electrode recordings, linked to characteristic behavioral patterns as the seizure propagates through brain networks. Jirsa's approach treats the epileptogenic zone not as a single broken region but as a distributed network whose dynamics can be captured by mean field models that collapse millions of neurons into a handful of state variables per brain region. The conversation confronts the hard methodological questions head-on. Verschure challenges whether mean field models anchored to slow fMRI signals can capture the rapid, transient, multi-scale dynamics that matter clinically. Jirsa acknowledges that validation against microscopic spiking network simulations is still underway and that the metrics for comparing model output to real brain dynamics remain underdeveloped , functional connectivity measures require stationarity assumptions that biological systems violate. Yet he argues that the network perspective has already changed clinical thinking: non-local interventions, where stimulation or minimal surgery at one brain region rebalances a distant epileptogenic network, are a logical consequence that only in silico modeling can safely explore. Key topics include why thirty percent of epilepsy patients are drug-resistant, how surgery success rates have remained flat at fifty percent for decades, the promise of minimally invasive techniques like thermocoagulation guided by computational models, why the Virtual Brain project represents a shift toward personalized network medicine, and what it would take to validate whole-brain models against the high-dimensional dynamics they claim to capture. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Stuart Wilson on self-organization and cortical maps

Sun, 15 Mar 2026 17:11:28 GMT

How does the brain build its own maps, and what constrains the patterns that evolution can produce? Computational neuroscientist Stuart Wilson argues that cortical arealization emerges from self-organizing processes operating within the design space defined by reaction-diffusion dynamics , not from a genetic blueprint that specifies each area independently. Subscribe for more from the Convergent Science Network podcast series. Stuart Wilson joins Paul Verschure and Tony Prescott to discuss how self-organization and natural selection interact to produce the diverse cortical maps observed across mammalian species. Drawing on Stuart Kauffman's framework and Alan Turing's reaction-diffusion mathematics, Wilson proposes that gene expression gradients across the developing cortex are themselves generated by self-organizing processes constrained by boundary shape and diffusion constants. Only certain patterns are possible for a given cortical geometry, and natural selection works within this limited design space rather than engineering maps from scratch. The conversation probes the methodology of building models that bridge abstract mathematical principles and messy biological reality. Wilson describes a collaboration with biologists Leah Krubitzer and Kelly Huffman, where software tools simulate self-organizing processes on arbitrary boundary shapes derived from actual cortical drawings across species. His strategy for validation is explicit: fit the model to reproduce observed variability in cortical boundaries across all catalogued species, then systematically remove components until the model breaks , identifying the minimal set of mechanisms required. Prescott and Verschure push on whether adult boundary shape is sufficient as a constraint, given that the cortex changes shape during development, and whether the model can generate predictions that biologists can test. Key topics include why the Jonas and Kording microprocessor paper matters for modelers, how knockout experiments reveal a minimal gene interaction network of approximately five genes driving cortical patterning, the relationship between tissue growth and successive self-organizing modes during development, and why the simplest model that accounts for biological complexity is more valuable than one that matches it. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Marco Diana on addiction and dopamine

Sun, 15 Mar 2026 17:08:37 GMT

Can a magnetic pulse to the forehead restore what drugs have broken in the addicted brain? Pharmacologist Marco Diana explains how chronic drug use produces a hypodopaminergic state, a massive downregulation of the dopamine system, and why transcranial magnetic stimulation may offer a physiological alternative to treating addiction when no effective drugs exist. Subscribe for more from the Convergent Science Network podcast series. Marco Diana joins Paul Verschure and Tony Prescott to trace the neurobiology of addiction from the initial dopamine surge through chronic adaptation to the devastating consequences of withdrawal. The hypodopaminergic hypothesis holds that prolonged drug use, whether alcohol, cocaine, or opioids, forces the dopamine system to compensate for constant external stimulation by reducing its baseline activity. When the drug is removed, the system is left firing well below normal levels, producing a cascade of behavioral changes so profound that, as Diana puts it, a mother will say her addicted child is no longer the same person. The physiological evidence is stark: dopamine neuron firing rates drop, D2 receptors in the striatum decrease, and dendritic spine density in target regions like the nucleus accumbens collapses , representing a massive disconnection estimated at roughly forty percent of local circuitry. Diana explains why transcranial magnetic stimulation targeting the prefrontal cortex offers a promising intervention: it exploits a well-documented monosynaptic pathway from prefrontal cortex to the ventral tegmental area, potentially restoring dopaminergic tone without the systemic side effects and dangerous drug interactions that plague current pharmacological approaches. Key topics include why only about eighteen percent of drug users become addicts, how the cognitive and limbic systems are affected on different timescales, the evidence that cellular memory persists even after apparent physiological recovery, why no approved pharmacological treatment exists for cocaine addiction, and the emerging evidence that TMS can modulate not just neurotransmitter release but structural connectivity in the brain. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Luis Fuentemilla on memory consolidation and sleep

Sun, 15 Mar 2026 17:05:38 GMT

How does the brain decide what to remember and what to forget , even while you sleep? Memory researcher Luis Fuentemilla reveals that targeted reactivation during slow-wave sleep can boost or suppress specific memories, and that the sleeping brain actively distinguishes between competing memory traces using different neural signatures. Subscribe for more from the Convergent Science Network podcast series. Luis Fuentemilla joins Paul Verschure and Tony Prescott to explore the mechanisms by which fleeting experience becomes lasting memory. He frames memory not as a simple recording device but as the function that links moment to moment into continuity , shaping perception, enabling mental time travel, and constructing the self. The conversation centers on the dual-process model of memory consolidation, where a fast hippocampal system captures experiences and a slow cortical system gradually absorbs them through offline replay during sleep. Fuentemilla describes experiments using targeted memory reactivation: sounds paired with specific stimuli during learning are replayed during slow-wave sleep, producing roughly a ten percent improvement in recall for reactivated items. The critical finding is that reactivation must occur during slow-wave sleep, not REM, because this is when hippocampal-cortical coupling is strongest and the brain is maximally disconnected from external input. Even more striking, when competing memories are reactivated, the sleeping brain generates distinct neural oscillatory responses depending on whether the memory will be strengthened or suppressed, suggesting an active organizational process rather than passive decay. Key topics include why most episodic memories from daily life are effectively forgotten, how wearable camera studies reveal the limits of autobiographical recall, the relationship between memory replay and systems-level consolidation, whether replay faithfully reproduces original neural patterns or transforms them, and how competition between overlapping memory traces may drive active forgetting during sleep. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Lars Muckli on predictive processing and visual cortex

Sun, 15 Mar 2026 17:02:38 GMT

Does the brain see the world or predict it? Visual neuroscientist Lars Muckli presents evidence that early visual cortex receives top-down predictive signals from higher areas, challenging the textbook view of vision as a purely bottom-up feature extraction process and raising hard questions about where prediction ends and perception begins. Subscribe for more from the Convergent Science Network podcast series. Lars Muckli joins Paul Verschure and Tony Prescott to explain how apparent motion, one of the simplest visual illusions, became a window into the predictive architecture of the visual brain. Using fMRI with retinotopic mapping, Muckli's lab discovered that the space between two alternating dots is filled with neural activity that cannot be explained by local V1 processing alone. EEG experiments revealed that motion-sensitive area V5 responds approximately 40 milliseconds before retinotopic V1 regions, and TMS applied to V5 before stimulus onset eliminates the predictability effect on the apparent motion trace , both pointing to a feedback signal carrying predictive information. The conversation becomes a rigorous methodological interrogation. Verschure challenges whether the data truly require a hierarchical predictive model or could be explained by lateral interactions within V1, where 97 percent of synapses originate locally. Muckli acknowledges that lateral and top-down contributions likely combine, proposing a model where higher areas provide a coarse motion envelope while local V1 circuitry adds spatial precision. Layer-specific fMRI analysis of occluded scene regions shows predictive content distributed across cortical layers rather than confined to specific laminae, suggesting the implementation of prediction in cortical circuits may be more distributed than canonical models assume. Key topics include why the predictive processing framework offers a more parsimonious account of visual processing than feedforward hierarchies, the methodological challenges of distinguishing prediction from postdiction, what layer-specific fMRI reveals about cortical feedback, and whether the predictive coding framework survives contact with detailed neurophysiological data. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Joscha Bach on artificial general intelligence and deep learning

Sun, 15 Mar 2026 16:59:18 GMT

Can we build a mind, and if so, what would that tell us about who we are? AI researcher Joscha Bach argues that the path to artificial general intelligence runs through understanding the mind as a model-making system in the service of organismic regulation , and that current deep learning, while surprisingly powerful, has not yet solved the fundamental problems of grounding, abduction, and epistemic autonomy. Subscribe for more from the Convergent Science Network podcast series. Joscha Bach joins Paul Verschure and Tony Prescott for a wide-ranging debate on the nature of intelligence, the limits of current AI, and what it would take to build a system with a mind similar to our own. Bach frames intelligence as function approximation , the ability to identify meaning by discovering relationships between patterns , and sketches a progression from hand-coded algorithms through learned functions to meta-learning systems that discover how to learn. He argues that our brains are not merely learning systems but meta-learning systems, and that evolution itself can be understood as an unprincipled search for such architectures. The conversation becomes a genuine intellectual sparring match. Verschure challenges whether the recursive logic of meta-learning constitutes real progress or merely demonstrates that its proponents understand recursion. Prescott questions whether intelligence-as-function-approximation captures the full range of human cognitive abilities. Both push Bach on the epistemic autonomy problem: current AI systems learn brilliantly on human-curated data but cannot ground their knowledge independently in the world. Bach concedes that new classes of algorithms , particularly for abductive reasoning and scientific discovery , are likely needed, while maintaining that no one has proven the limits of current approaches. Key topics include why Marvin Minsky's commitment to symbolic AI set the field back, how AlphaGo's success reframes expectations about machine intelligence, the difference between intelligence, smartness, and wisdom, why consciousness might be understood as a model of attention, and whether the current wave of deep learning can carry us to general intelligence or represents a fundamental dead end. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Encarni Marcos on prefrontal cortex and decision making

Sun, 15 Mar 2026 16:55:27 GMT

Why do some prefrontal neurons hold steady while others rapidly switch what they represent? Neuroscientist Encarni Marcos reveals that the prefrontal cortex operates through a continuum of neural stability and flexibility , where heterogeneous populations simultaneously maintain goals in memory and dynamically transform them into actions. Subscribe for more from the Convergent Science Network podcast series. Encarni Marcos joins Paul Verschure and Tony Prescott to discuss her research on how prefrontal cortex supports goal-directed behavior. Recording from dorsolateral prefrontal cortex in monkeys performing discrimination tasks, she finds that neurons do not simply encode one feature of a task. Instead, individual neurons represent multiple features, goals, cues, actions, often overlapping in time, with some neurons switching their representational allegiance as a decision unfolds while others remain locked to a single variable throughout the trial. The conversation explores what this heterogeneity means for decision-making. Marcos describes a model built from competing pools of neurons with different excitability levels: stable populations maintain task-relevant information as a kind of ground truth, while flexible populations reshape network dynamics to drive the transition from goal representation to action selection. This architecture, validated against physiological data including burst-pause patterns, offers a mechanistic account of how the brain can simultaneously remember what it needs to do and figure out how to do it , without requiring separate memory and decision systems. Key topics include why averaging across neural populations obscures the real dynamics of prefrontal cortex, how error signals in prefrontal neurons defy standard dopaminergic prediction error models, the limitations of drift-diffusion models for explaining individual neural dynamics, and why neural variability may carry more information about cognitive processing than firing rates alone. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Elena Galea on astrocytes and glia

Sun, 15 Mar 2026 16:52:56 GMT

What if half the brain's cells are doing something essential that neuroscience has barely begun to investigate? Elena Galea makes the case that astrocytes, long dismissed as passive glue, are active computational elements that tile the brain in a precise three-dimensional matrix, modulate neural circuits, control blood flow, and may hold the key to understanding memory and higher brain function. Subscribe for more from the Convergent Science Network podcast series. Elena Galea joins Paul Verschure and Tony Prescott to explain why the old category of "glia" should be abandoned. Astrocytes, oligodendrocytes, microglia, and NG2 cells are molecularly and functionally distinct , lumping them together has obscured decades of potential discovery. Galea describes how modern labeling techniques reveal astrocytes not as star-shaped cells with long processes but as dense bushy structures approximately 50 microns across, tiling the brain in a Voronoi tessellation pattern that extends uniformly through gray and white matter. The conversation dives into what astrocytes actually do beyond metabolic support. They release glutamate on a timescale of seconds, buffer and potentially redistribute potassium, modulate inhibitory and excitatory circuit responses with surprising precision, and control capillary dilation within hundreds of milliseconds of neural activity. Galea argues this goes well beyond homeostasis , astrocytes gate, modulate, and potentially synchronize neural activity within local circuits. Yet the field remains in its infancy: only one percent of systems neuroscience presentations address non-neuronal cells, and the long-term plasticity mechanisms in astrocytes, analogous to LTP in neurons, remain completely uncharacterized. Key topics include why astrocyte research has lagged behind neuronal studies by decades, how techniques have constrained concepts in the field, the role of astrocytes in memory consolidation revealed by chemogenetic manipulation, the multiplexing capacity of astrocytes that simultaneously regulate synapses and blood vessels, and why understanding the brain's dark matter may require rethinking neural circuit models from the ground up. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Christine Aicardi on responsible research and research ethics

Sun, 15 Mar 2026 16:49:13 GMT

Can scientists really govern themselves ethically, or does responsible research require something more than collective reflection? Christine Aicardi unpacks the AREA framework for responsible research and innovation, revealing both its promise and its structural limitations when applied inside large-scale projects like the Human Brain Project. Subscribe for more from the Convergent Science Network podcast series. Christine Aicardi joins Paul Verschure and Tony Prescott to discuss what responsible research and innovation actually means in practice. Drawing on her experience leading ethics and society work within the Human Brain Project, she describes the AREA framework, Anticipate, Reflect, Engage, Act, as a process-oriented approach that asks researchers to scan the horizon for societal implications, seek diverse perspectives, and close the loop between anticipation and action. But she is candid about its limits: the framework operates at the project level, while many of the decisions that shape research are made by funders and policymakers whose premises go unquestioned. The conversation pushes into uncomfortable territory. Verschure challenges whether reflection alone is a sufficient ethical foundation, pointing to historical examples where collective deliberation led to catastrophic outcomes. Aicardi acknowledges that participatory processes do not always reach consensus and that researchers often face double-bind situations where institutional pressures conflict with ethical judgment. She argues that responsible research cannot exist without responsible governance , and that the Human Brain Project's experience reveals how bureaucratic structures, funding discontinuities, and disciplinary silos undermine even well-intentioned ethics programs. Key topics include the gap between project-level ethics and funder-level accountability, why professional self-regulation matters at the cutting edge of science, the challenge of integrating humanities and social science into large scientific consortia without reducing them to utilitarian roles, and what lessons the Human Brain Project offers for future flagship research programs. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Bjorn Merker on brain systems and brain architecture

Sun, 15 Mar 2026 16:46:16 GMT

How many systems does the mammalian brain actually have, and what is each one really doing? Neuroscientist Bjorn Merker challenges conventional anatomical boundaries and proposes that the brain's major subdivisions, neocortex, cerebellum, basal ganglia, and brainstem, each perform a distinct generic function, running in parallel all the time rather than switching on and off. Subscribe for more from the Convergent Science Network podcast series. Bjorn Merker joins Paul Verschure and Tony Prescott for a wide-ranging tutorial on brain systems architecture. He begins by questioning how we define a system at all, showing that textbook divisions like midbrain and diencephalon dissolve under embryological and molecular scrutiny. Instead, he argues that genuine systems should exhibit redundant internal structure reflecting a generic function , as the crystalline circuitry of the cerebellum or the uniform laminar organization of neocortex clearly do. From this principle, he derives a functional decomposition: neocortex performs veridical source reconstruction across all sensory afferents, solving the inverse problems that plague perception; basal ganglia handle action selection and policy; cerebellum contributes decorrelation and calibration. The discussion challenges the standard view that higher brain systems replace lower ones. Merker advocates a Jacksonian layered control model where every level runs its generic computation continuously in parallel, with higher levels adding new capacities rather than suppressing old ones. He illustrates this with eye-blink conditioning, where anticipatory and reflexive responses coexist, and with the evolutionary persistence of the superior colliculus alongside cortical vision. The conversation also explores why the brain's massive learning structures, cortex, cerebellum, basal ganglia, scale together in evolution, and why hippocampus sits at the apex of cortical hierarchy as a hinge converting feedforward into feedback processing. Key topics include the bowtie architecture of cortical connectivity, why volumetric scaling predicts learning capacity, the developmental sensitivity versus adult robustness of brain systems, and how frontal-limbic-hippocampal circuits form the densely interconnected hub of the mammalian brain. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Aaron Schurger on free will and readiness potential

Sun, 15 Mar 2026 16:42:59 GMT

What if the most famous experiment against free will was measuring the wrong thing all along? Neuroscientist Aaron Schurger explains why the readiness potential, long interpreted as the brain's decision signal, may be nothing more than autocorrelated neural noise crossing a threshold, fundamentally undermining decades of conclusions drawn from the Libet experiment. Subscribe for more from the Convergent Science Network podcast series. Aaron Schurger joins Paul Verschure and Tony Prescott to dissect the neuroscience of volition, starting with a careful distinction between free will, conscious will, and agency. The conversation zeroes in on the readiness potential, a slow buildup of brain activity preceding voluntary movement that Benjamin Libet famously used to argue the brain decides before we are aware of deciding. Schurger's drift-diffusion model offers an alternative: the readiness potential emerges naturally from stochastic neural fluctuations accumulating toward a threshold, not from any preparatory decision process. The evidence spans multiple species and methods. Murakami's 2014 study found ramping activity in rat premotor cortex consistent with an accumulator model. Schurger's own experiments show that when subjects are cued to respond at random moments, fast and slow reaction times correspond to different levels of ongoing neural fluctuation , a difference that precedes the unpredictable cue and therefore cannot reflect preparation. The discussion also addresses the Soon and Fried studies that claimed to predict decisions seconds in advance, with Schurger arguing that slightly-better-than-chance classification of brain states is exactly what autocorrelated noise would produce. Key topics include why the Libet paradigm minimizes rather than tests conscious volition, the role of pink noise and temporal autocorrelation in neural circuits, methodological pitfalls of using classifiers on brain data, and what a brain-computer interface approach might reveal about the causal relationship between conscious intention and action. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Ton Coolen on immune networks and neural networks

Sun, 15 Mar 2026 16:39:51 GMT

What if the mathematics behind neural networks could unlock the secrets of the immune system? Physicist Ton Coolen reveals how techniques from statistical mechanics, originally developed for obscure magnetic materials, now expose deep structural parallels between how brains store memories and how immune systems learn to fight disease. Subscribe for more from the Convergent Science Network podcast series. Ton Coolen joins Paul Verschure and Tony Prescott to explain how a collaboration with Italian researchers led him to apply finite connectivity analysis, a mathematical framework only available since around 2000, to models of immune network function. The resulting models map directly onto Hopfield-type attractor networks from neural network theory, with cytokine signaling playing the role of synaptic connections and B-cell receptor evolution functioning as a rewiring mechanism. The conversation traces how applied problems in biology have driven fundamental advances in theoretical physics, inverting the usual relationship between basic and applied science. The discussion explores what the immune system can teach neuroscience about memory and learning. Unlike neural networks where few patterns with many bits are stored, immune networks store many patterns with few bits each , a regime that demands entirely different mathematical treatment. Coolen argues that biological heterogeneity, shaped by evolution rather than randomness, represents a fundamental challenge that standard physical methods cannot handle, pointing toward a new class of problems at the boundary of physics and biology. Key topics include the mathematical parallels between Hopfield networks and immune models, why equilibrium statistical mechanics fails for living systems, how hypermutation and selection function as a learning algorithm, the unsolved problem of immune memory, and the tantalizing possibility that the nervous system anticipates and regulates immune responses through brain-immune coupling. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Paul Verschure & Tony Prescott on synthetic psychology and robot models

Sun, 15 Mar 2026 12:04:08 GMT

What would it take to build a true science of the mind , one that combines brain theory, robotics, and behavior into a unified framework? Paul Verschure and Tony Prescott reflect on a decade of interdisciplinary research at the intersection of neuroscience, psychology, and engineering, asking whether synthetic models can finally deliver the explanatory theories that biology alone has failed to produce. Subscribe for more from the Convergent Science Network podcast series. In this special episode, Verschure and Prescott turn the microphone on each other to discuss the intellectual foundations behind the BCBT summer school and the Living Machines conference. Starting from the famous Rosenbluth and Wiener argument that understanding complex biological systems requires building simplified physical models, they examine why robots offer something animal models cannot: complete access to every parameter, behavioral realism, and the ability to test sufficiency of a theory in real time. The conversation traces a lineage from cybernetics through Breitenberg's synthetic psychology to their own Distributed Adaptive Control framework. Central to the discussion is the tension between top-down behavioral modeling and bottom-up neural circuit analysis. Verschure describes how abstract behavioral models and detailed hippocampal simulations have converged to unlock new features like vicarious trial and error and mental time travel in robotic systems. Prescott pushes back on the limits of sufficiency arguments, advocating for completeness and convergent validation across multiple levels of description. Both agree that neuroscience suffers from an excess of technology-driven data and a deficit of genuinely explanatory theory , a gap that synthetic psychology is uniquely positioned to fill. The episode also features a candid exchange with Christine Aicardi on responsible research and innovation within large-scale projects like the Human Brain Project, exploring the limits of collective reflection as an ethical framework and the structural challenges of implementing responsible governance in science. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Neil Burgess on boundary vector cells and place cells

Sun, 15 Mar 2026 11:59:49 GMT

How does the hippocampus know where you are when all it receives is egocentric sensory input? Computational neuroscientist Neil Burgess explains how boundary vector cells provide the missing link , translating distances to environmental features into the allocentric place code that underpins spatial memory and navigation. Subscribe for more from the Convergent Science Network podcast series. Neil Burgess joins Paul Verschure and Tony Prescott at the BCBT summer school to present his boundary vector cell model of hippocampal place cell firing. The model proposes that place cells receive their spatial tuning from a population of cells, found in subiculum and entorhinal cortex, that each encode the distance and allocentric direction to extended environmental boundaries. A place field emerges as a thresholded sum of these boundary inputs , a simple mechanism that accounts for how place fields stretch, split, or disappear when environments are deformed, and why place cells near walls tend to be more stable than those in open space. The discussion traces the interplay between theory and experiment that has driven Burgess's career. He explains why the boundary vector cell model uses summation with a threshold rather than multiplication: environment-stretching experiments show place field sub-peaks being pulled apart while maintaining fixed absolute distances from walls, rather than tracking constant ratios , evidence against a Bayesian multiplicative combination. The conversation also addresses the critical role of head direction cells as the compass that orients the entire system, and how retrosplenial cortex likely performs the egocentric-to-allocentric coordinate transformation needed to anchor head direction signals to sensory landmarks. Burgess and the hosts debate whether the hippocampus represents a single best estimate of location or entertains multiple spatial hypotheses simultaneously. While there is limited direct evidence for multiple concurrent hypotheses in place cell firing, running-direction-dependent modulation of split place fields suggests that path integration and sensory inputs are being combined, with different peaks receiving different weights depending on movement direction. The conversation also explores the successor representation idea , that place cells may encode not just current location but the probability of future occupancy, enabling more efficient reward estimation. Key topics include the boundary vector cell model, the relationship between place cells and grid cells, egocentric-to-allocentric transformation in retrosplenial cortex, environment deformation experiments, path integration and its error accumulation, the puzzle of finding boundary vector cells at both input and output stages of the hippocampal loop, and the Bayesian versus competitive interpretations of spatial coding. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Giacomo Rizzolatti on mirror neurons and action understanding

Sun, 15 Mar 2026 11:56:14 GMT

How does the brain understand what another person is doing without having to think about it? Giacomo Rizzolatti, who discovered mirror neurons, explains why action understanding is rooted in the motor system , and why the concept must now expand from individual mirror neurons to a mirror brain that spans parietal, premotor, and motor cortex. Subscribe for more from the Convergent Science Network podcast series. Giacomo Rizzolatti joins Paul Verschure and Tony Prescott at the BCBT summer school to revisit and extend the mirror neuron framework he pioneered. The core finding remains: neurons in the macaque premotor cortex (area F5) and parietal cortex fire both when the monkey performs a goal-directed action and when it observes another agent performing a similar action. Rizzolatti emphasizes that this is not simple visual-motor transformation , the match must be at the level of the goal, not the specific movement. Recent work by Roger Lemon has extended this to the corticospinal tract, revealing mirror properties even in neurons projecting directly to the spinal cord, with some showing suppressive responses that may help prevent involuntary imitation. The discussion explores the boundaries of the mirror system. Rizzolatti describes an experiment comparing human brain responses to eating and communicative actions performed by humans, monkeys, and dogs. Mirror responses generalize across species for eating, because biting is a shared motor program, but not for dog barking, because humans lack a motor program for barking. This supports the principle that mirror neuron activation requires a matching motor repertoire in the observer. The conversation also addresses how novel actions are learned: Rizzolatti proposes that complex sequences like guitar chords are decomposed into elementary motor acts recognized by the mirror system, then reassembled by prefrontal cortex into new combinations. The conversation tackles the tension between imitation and goal-matching, the role of context in constraining the space of possible action interpretations, whether internal motivational states modulate mirror responses, and how temporal analysis using gamma-band recordings may reveal the dynamics of action prediction. Rizzolatti distinguishes between lower-level mirroring, immediate, automatic recognition of observed actions, and higher-level mirroring, where cognitive effort is required to understand unfamiliar or ambiguous actions. Key topics include the parietal-premotor-motor mirror circuit, goal-directed action understanding, cross-species generalization of mirror responses, the role of motor programs in social cognition, imitation versus goal recognition, and the extension from mirror neurons to a distributed mirror brain. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Francesca Cacucci on hippocampus development and grid cells

Sun, 15 Mar 2026 11:51:50 GMT

Why do grid cells, the brain's metric system for space, appear last in development, days after place cells and head direction cells are already active? Neuroscientist Francesca Cacucci explains what the developmental sequence of spatial circuits in the rat hippocampus reveals about how the navigation system bootstraps itself, and why the sudden emergence of grid cells around postnatal day 20 may mark a genuine cognitive transition. Subscribe for more from the Convergent Science Network podcast series. Francesca Cacucci joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss her research on the development of spatial representations in the rat hippocampus and entorhinal cortex. Her laboratory has documented a clear developmental timeline: head direction cells appear first, as early as postnatal day 12–13, providing a compass signal before the eyes even open. Place-like responses emerge gradually from around postnatal day 16, initially broad and concentrated near environmental boundaries. Grid cells then appear abruptly around postnatal day 20 , coinciding with the onset of organized exploratory behavior and the age at which rats first succeed on hippocampal-dependent spatial tasks. The discussion challenges the original assumption that grid cells are the primary input driving place cell formation. Since place-like responses precede grid cells developmentally, Cacucci proposes that early place responses are broad associative responses combining head direction signals with boundary features, and that grid cells provide the metric sharpening needed to refine these into precise spatial representations. This is supported by evidence that when grid cells are pharmacologically disrupted in adults, new place fields in novel environments revert to boundary-anchored, broad responses , exactly what is seen in pre-grid-cell pups. The conversation explores parallels with human cognitive development, including the relationship to Piaget's stage theory and the surprising evidence that allocentric spatial processing may be the default mode across cultures rather than egocentric processing. Cacucci argues that development is not merely gradual refinement but includes sudden transitions , and understanding what triggers these transitions at the neural level is one of the field's most important open questions. She advocates for moving spatial neuroscience out of featureless laboratory boxes and into more naturalistic environments. Key topics include the developmental sequence of spatial cell types, the relationship between grid cells and exploratory behavior, attractor network models versus oscillatory models, why head direction cells precede all other spatial signals, and what comparative and cross-cultural evidence tells us about the evolution of spatial cognition. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Bechir Jarraya & Lynn Uhrig on anesthesia and consciousness

Sun, 15 Mar 2026 11:46:07 GMT

Why do two anesthetics with opposite effects on the brain's inhibitory system both produce unconsciousness , and what does the difference between them reveal about the neural architecture of conscious access? Anesthesiologist Lynn Uhrig and neuroscientist Bechir Jarraya explain how the local-global auditory paradigm, combined with propofol and ketamine in macaque monkeys, is dissecting the frontoparietal network that supports consciousness. Subscribe for more from the Convergent Science Network podcast series. Lynn Uhrig and Bechir Jarraya join Paul Verschure at the BCBT summer school to present their collaborative work using anesthesia as a tool to probe the neural substrates of consciousness. They employ the local-global paradigm, a sequence of sounds containing two levels of rule violation, originally developed by Dehaene and Naccache. Local deviants (a single unexpected sound) activate the auditory pathway and can be processed without consciousness. Global deviants (a violation of the overall sequence pattern) require conscious access and activate a frontoparietal network including prefrontal cortex, parietal cortex, and cingulate regions. The researchers have successfully replicated this hierarchy in macaque monkeys using fMRI, establishing a primate model for studying consciousness experimentally. The critical finding emerges when anesthesia is applied. Ketamine, which acts on NMDA receptors, abolishes the global effect entirely , no frontoparietal activation survives. Propofol, which enhances GABAergic inhibition, produces a more nuanced result: prefrontal activation persists, but parietal activation disappears completely. This selective loss of parietal engagement under propofol, regardless of analysis method, suggests the parietal cortex may be a more critical hub for conscious access than the prefrontal cortex , a finding consistent with the frontoparietal disconnection reported across multiple anesthetic agents. The discussion also covers a novel analysis of resting-state brain dynamics using unsupervised clustering into discrete brain states. In the awake condition, the brain occupies many states, with a heavy bias toward flexible configurations uncorrelated with anatomical connectivity. Under anesthesia, the brain collapses into rigid states where spontaneous activity is almost entirely explained by structural connectivity , as if consciousness requires freedom from anatomical constraints. Key topics include the local-global paradigm as a marker of conscious access, differential effects of propofol versus ketamine, frontoparietal disconnection under anesthesia, dynamic resting-state analysis, rigid versus flexible brain states, and the challenge of cross-species homology between macaque and human brains. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Aurore Thibault on disorders of consciousness and vegetative state

Sun, 15 Mar 2026 11:42:46 GMT

What if one-third of patients diagnosed as vegetative are actually conscious but trapped in bodies that cannot respond? Consciousness researcher Aurore Thibault explains the 30% misdiagnosis rate in disorders of consciousness and how combining brain stimulation with complexity measures may finally give clinicians a reliable window into awareness when behavior fails. Subscribe for more from the Convergent Science Network podcast series. Aurore Thibault of the University of Liège joins Paul Verschure at the BCBT summer school to discuss the clinical challenge of assessing consciousness in patients with severe brain injuries. Even with the best behavioral scale available, the Coma Recovery Scale-Revised, the misdiagnosis rate remains around 30%, because patients may be fully conscious yet unable to demonstrate it due to aphasia, motor impairment, pain, or fluctuating vigilance. Thibault describes the clinical categories from coma through unresponsive wakefulness syndrome to minimally conscious states, and explains why detecting the first sign of consciousness matters enormously for prognosis, rehabilitation decisions, and end-of-life choices. The discussion focuses on a promising approach that combines transcranial magnetic stimulation (TMS) with high-density EEG to measure the perturbational complexity index (PCI) , a single number reflecting how complex and differentiated the brain's response is to a controlled perturbation. So far, this measure has achieved 100% accuracy in distinguishing conscious from unconscious states at the single-patient level, and has identified chronic patients classified as vegetative who later recovered. However, Thibault emphasizes that the technique is still in the research phase: sessions take hours, stimulation sites must be adapted to each patient's lesion pattern, and it remains unknown whether the measure can predict recovery when applied in the acute stage. The conversation also explores the distinction between internal consciousness (self-directed thought, the default mode network) and external consciousness (awareness of the environment, the lateral frontoparietal network), the surprising finding that locked-in syndrome patients report happiness levels comparable to healthy controls, and the thalamocortical model that explains why certain drugs like zolpidem can transiently restore responsiveness in some patients. Key topics include clinical misdiagnosis of consciousness, the perturbational complexity index, TMS-EEG methodology, internal versus external consciousness networks, locked-in syndrome quality of life, and translating neuroscience tools into clinical practice. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Daniel Polani on information theory and embodied cognition

Sun, 15 Mar 2026 11:39:18 GMT

What if evolution discovered that information itself is the most reliable local gradient for finding good solutions? Computer scientist Daniel Polani explains how information theory provides a normative framework for understanding why sensors are optimized, why brains are expensive, and why cognition is fundamentally constrained by the physics of embodiment. Subscribe for more from the Convergent Science Network podcast series. Daniel Polani joins Paul Verschure and Tony Prescott at the BCBT summer school to present his information-theoretic approach to embodied cognition. Starting from the observation that biological sensors often operate near their physical limits, Polani argues that information serves as a local proxy that evolution uses to direct adaptation , organisms that capture more relevant information gain access to new ecological niches, creating a positive feedback loop between sensory refinement and behavioral complexity. The information bottleneck framework allows relevant information to be distinguished from noise, providing a principled way to think about what an organism needs to sense versus what it can afford to ignore. The discussion moves from sensor optimization to the metabolic cost of processing. Polani draws an analogy to the Carnot cycle, proposing that at every level of biological organization , from ATP management to cellular logistics to high-level cognition , there is information processing happening, with each hierarchical level consuming most of the available free energy for administration and leaving only a fraction for novel computation. He introduces the distinction between open-loop and closed-loop control to formalize how sensing adds power to an agent: the extra entropic influence of a closed-loop agent is bounded by how much information it takes in, establishing that cognitive performance has hard informational limits. The conversation addresses how embodiment constrains the information flow available to an agent, why memory is the natural next step beyond reactive sensing, and how the framework generates sub-goals naturally from the interaction between long-term goals and environmental structure. Polani argues that unlike abstract AI approaches that treat decision-making as unconstrained, this information-theoretic view reveals tangible physical limits on what any embodied agent can achieve. Key topics include the evolution of sensors, relevant information versus noise, the metabolic cost of cognition, open-loop versus closed-loop control, Landauer's principle and its connection to biological information processing, and why parsimony in neural computation is an evolutionary necessity. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with José Halloy on collective behavior and bio-hybrid robots

Sun, 15 Mar 2026 11:32:18 GMT

Can you infiltrate a cockroach colony with robots and steer its collective decisions? Physicist José Halloy explains how simple mathematical models from statistical physics capture the self-organizing behavior of animal groups , and how biomimetic robots that smell like cockroaches can be used to test and manipulate these models from the inside. Subscribe for more from the Convergent Science Network podcast series. José Halloy joins Paul Verschure and Tony Prescott at the BCBT summer school to describe his work on collective behavior in animal-robot hybrid societies. Drawing on dynamical systems theory, Halloy and colleagues have shown that cockroach aggregation under shelters can be modeled with a small set of differential equations capturing positive feedback from social attraction and negative feedback from environmental saturation. The key insight is that even populations of identical individuals with no hierarchy can produce consensus decisions through these simple nonlinear mechanisms , a principle found at every level of biological organization from gene regulation to neural circuits to social groups. The discussion focuses on a landmark experiment in which small robots, coated with cockroach pheromones to pass olfactory recognition, were introduced into cockroach colonies. Despite having no resemblance in shape and running on a finite state machine rather than a neural controller, the robots were accepted as group members and could influence collective shelter choice. By programming the robots to prefer a different shelter, the researchers demonstrated that a minimal number of artificial agents can shift the consensus of the entire group , a nonlinear effect predicted by the mathematical model. The conversation explores the limits of this approach: why it works for cockroaches (which rely primarily on olfactory recognition) but is far harder with fish or vertebrates (which are more multimodal), what the framework reveals about the relationship between individual cognition and collective behavior, and whether the dynamical systems approach from physics can scale to more complex species. Halloy argues that while these models capture specific mechanisms in specific experiments rather than the full complexity of an animal, the methodology of positive and negative feedback networks producing emergent behavior is a universal lesson across biological scales. Key topics include collegial decision-making without hierarchy, the insect Turing test, why robots need not replicate neural architecture to reproduce behavior, the role of internal states like hunger and fear, and what ant colony optimization in computer science owes to biological models. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Semir Zeki on visual brain and parallel processing

Sun, 15 Mar 2026 11:28:17 GMT

What if the visual brain does not process information through a single hierarchy but runs multiple parallel systems that complete their tasks at different times? Neuroscientist Semir Zeki challenges the textbook model of visual processing, arguing that asynchronous operations across parallel pathways, not sequential stages through V1, are the fundamental organizing principle of visual perception. Subscribe for more from the Convergent Science Network podcast series. Semir Zeki joins Paul Verschure and Tony Prescott at the BCBT summer school to present an alternative architecture for the visual brain built on four key findings that the standard model fails to accommodate. First, V1 is not the sole gateway to visual cortex , direct projections from the LGN and pulvinar reach specialized visual areas independently. Second, conscious visual experience can occur without V1, either as preprocessor or postprocessor. Third, different visual attributes are perceived at different times: color is seen before form, and form before motion, with gaps of up to 80 milliseconds. Fourth, the brain operates asynchronously, and no current computational theory adequately accounts for this. The discussion examines what determines which of the multiple anatomical hierarchies takes precedence at any given moment. Zeki proposes that the answer is task- and stimulus-dependent: the same physical substrate supports many possible functional hierarchies, dynamically configured according to what the brain needs to process. He presents evidence that signals from simple geometric elements reach both V1 and high-level face and house areas at identical latencies, challenging the assumption that complex object recognition is built exclusively from oriented line detectors in V1. The conversation also addresses the Gestalt principle , that a face may be recognized as a whole before its component features are analyzed , and why this demands rethinking the building-block model of visual processing. Key topics include the role of the pulvinar in attentional modulation, why perceptual latency hierarchies do not match physiological latency hierarchies, the relationship between fiber diameter and processing speed, Zeki's advocacy for genuine interdisciplinarity between neuroscience and philosophy, and what neuroaesthetics reveals about the brain's knowledge-acquisition function. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Matthew Diamond on whisker system and decision-making

Sun, 15 Mar 2026 11:23:52 GMT

Can a rat perform the same perceptual decision-making tasks that were once thought to require a primate brain? Neuroscientist Matthew Diamond explains how rats trained on complex vibrotactile comparisons reveal fundamental principles of evidence accumulation, working memory, and sensory coding , and why individual differences between rats rival those between humans. Subscribe for more from the Convergent Science Network podcast series. Matthew Diamond joins Paul Verschure and Tony Prescott at the BCBT summer school to present his laboratory's work on whisker-mediated decision-making in rats. Using a paradigm in which rats compare two vibrotactile stimuli separated by a delay, Diamond's team has shown that rats can perform parametric comparisons of stimulus intensity and duration , tasks previously considered beyond rodent capability. The results demonstrate that rats accumulate evidence over time from stochastic stimuli, improving performance with longer stimulus durations, consistent with optimal evidence integration. The discussion distinguishes between two modes of whisker sensing: receptive sensing, where the animal holds its whiskers still to collect an externally delivered vibration, and generative sensing, where the animal actively creates stimulation through its own whisking movements. Diamond argues both are forms of active sensing, since even in the receptive case the animal actively controls whisker state to optimize signal collection. The conversation explores how rats and humans compare on psychometric performance , on average humans outperform rats, but the distributions overlap substantially, with the best rats exceeding the worst human subjects. A key finding is that stimulus intensity and duration combine through summation rather than multiplication, suggesting the brain adds rather than multiplies evidence from these two dimensions. The discussion also addresses why rats show higher lapse rates than humans , possibly reflecting an evolved strategy of continuously exploring whether task contingencies have changed, rather than exploiting a known rule. Diamond explains how these rodent studies complement primate research by revealing how a simpler brain with fewer cortical modules can accomplish similar computations through different circuit architectures. Key topics include parametric versus categorical decision-making, evidence accumulation in stochastic environments, cross-modal comparison between auditory and tactile stimuli, individual variability in rat cognition, and what working memory in rats reveals about prefrontal cortex homology. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Stephen Noctor on cortical development and precursor cells

Sun, 15 Mar 2026 11:20:27 GMT

How does the brain build itself from a handful of precursor cells into billions of neurons organized in precise layers? Developmental neurobiologist Stephen Noctor explains the remarkable choreography of cell division, migration, and differentiation in the ventricular zone , where future neurons bounce up and down like yo-yos before embarking on journeys equivalent to climbing four Empire State Buildings. Subscribe for more from the Convergent Science Network podcast series. Stephen Noctor joins Paul Verschure and Tony Prescott at the BCBT summer school to describe his research on the precursor cells that generate the cerebral cortex. Using fluorescent labeling and time-lapse imaging in rat brain slices, Noctor has captured the movements of individual precursor cells as they undergo interkinetic nuclear migration , rapidly descending to the ventricular surface to divide, then slowly rising back through the ventricular zone in a process that may be largely passive. His movies reveal surprising behaviors: cells that pause, reverse direction, and emit transient processes that may serve as feedback conduits during migration. The discussion traces cortical construction from its earliest stages. Excitatory neurons are generated in the ventricular and subventricular zones and migrate radially outward, while inhibitory interneurons originate in the ganglionic eminences and travel tangentially. Noctor estimates fewer than ten distinct precursor cell types, which become progressively restricted in their output as development proceeds. He describes the inside-out lamination of the cortex, where later-born neurons migrate past earlier-born ones to settle just beneath the marginal zone , a process dependent on the signaling molecule reelin, without which the cortex inverts. Key topics include the orientation of cell division planes and what they reveal about fate determination, the role of radial glial fibers as scaffolds for migration, why the human brain generates roughly five billion cortical neurons over the course of pregnancy, the forgotten discoveries of Frederick Sauer from 1935, and how understanding normal development establishes a foundation for investigating neurodevelopmental disorders. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Ranulfo Romo on decision-making and somatosensory cortex

Sun, 15 Mar 2026 10:15:34 GMT

How does the brain transform a fleeting touch on the fingertip into a deliberate decision seconds later? Neurophysiologist Ranulfo Romo explains how sensory representations are maintained, transformed, and compared across cortical areas , revealing the slow, parametric neural code that bridges perception and decision-making. Subscribe for more from the Convergent Science Network podcast series. Ranulfo Romo joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss decades of work tracing how somatosensory signals travel from primary cortex to frontal decision-making areas in the primate brain. Using a vibrotactile discrimination task in which monkeys compare two temporally separated stimuli, Romo has mapped the transformation of sensory information at each stage , from faithful isometric representations in S1 arriving within 25 milliseconds, to slowly ramping parametric codes in prefrontal and premotor areas emerging around 180 milliseconds. The discussion addresses why Romo insists on unimodal processing in primary sensory cortex, a position he has tested for over a decade against the competing multimodal hypothesis. He argues that the neural doctrine , the idea that cortical territories are defined by their thalamic inputs , still holds, and that the key scientific question is how a sensory representation is progressively transformed as it passes through successive cortical areas, each treating the signal differently before passing it on. During the delay period between stimuli, frontal neurons maintain a ramping activity that preserves the stimulus parameter while discarding irrelevant features , a process Romo links to the ancient philosophical tradition from Democritus and Epicurus about how the brain generates internal representations of the external world. Key topics include the distinction between fast sensory and slow cognitive processing systems, the role of neuromodulators in bridging these timescales, why decision-making is context-dependent and sometimes unconscious, the relationship between Libet's conscious awareness timing and primate neurophysiology, and the challenge of procrastination as a decision-making phenomenon. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Narender Ramnani on cerebellum and cortico-cerebellar loops

Sun, 15 Mar 2026 10:09:53 GMT

What if the cerebellum is not just a motor structure but a universal learning machine wired to the entire frontal lobe? Neuroscientist Narender Ramnani explains how the anatomy of cortico-cerebellar loops forces us to rethink the cerebellum's role , from fine-tuning movements to supporting rule learning, cognitive error processing, and the transition from deliberate to habitual behavior. Subscribe for more from the Convergent Science Network podcast series. Narender Ramnani joins Paul Verschure and Tony Prescott at the BCBT summer school to present evidence that the cerebellum communicates not only with motor cortex but with diverse regions of the prefrontal and parietal cortex through closed anatomical loops. He traces this insight to work by Peter Strick and by Schmahmann and Pandya, which revealed that the cerebellum's connectivity is far broader than the classical motor view suggests. If the cerebellar microcircuit is computationally uniform , the same Marr-Albus learning architecture repeated across the structure , then the same transform applied to motor inputs should also apply to cognitive inputs arriving from prefrontal cortex. The discussion digs into the critical question of error signals. In classical conditioning, the inferior olive delivers a clear teaching signal. But what serves as the error signal for prefrontal-cerebellar loops? Ramnani presents anatomical evidence for at least two routes: dopaminergic projections from the VTA that send collaterals directly to cerebellar Purkinje cells, and prefrontal projections from the anterior cingulate cortex that reach the inferior olive. He also describes fMRI evidence showing that cerebellar activity during instrumental rule learning mirrors the Purkinje cell pause seen in classical conditioning , a decrease in BOLD signal consistent with reduced Purkinje cell firing during learning. Key topics include the modular independence of cerebellar loops, why cerebellar modules must communicate through neocortex rather than internally, the system-one versus system-two distinction in habit formation, how to interpret fMRI signals in the cerebellum, and the challenge of building computational models that capture these cortico-cerebellar interactions. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Mark Blumberg on rem sleep and twitching

Sun, 15 Mar 2026 10:05:24 GMT

What if the twitches you see in a sleeping infant are not remnants of dreams but a systematic self-calibration process for the developing motor system? Developmental neuroscientist Mark Blumberg explains how REM sleep twitching may serve as the brain's sonar , pinging muscles one at a time and listening for the sensory feedback that bootstraps the body map. Subscribe for more from the Convergent Science Network podcast series. Mark Blumberg joins Paul Verschure and Tony Prescott at the BCBT summer school to present his research on the relationship between sleep, twitching, and sensorimotor development in infant rats. During active (REM) sleep, neonatal rats produce highly discrete myoclonic twitches , brief activations of individual joints occurring against a background of low muscle tone. Blumberg argues these are not random byproducts but structured motor events with a high signal-to-noise ratio, ideally suited for the nervous system to map its own body. The sensory consequences of each twitch cascade through the brain in ways that wake movements do not, because during wakefulness a corollary discharge mechanism gates reafferent signals. The discussion traces the developmental trajectory of twitching from spinal-cord-driven activity in the fetus through brainstem contributions in the neonate, showing how the system becomes progressively more complex. Blumberg presents evidence that multi-joint twitches develop spatio-temporal structure over the first postnatal week, with certain movement combinations becoming more frequent and more organized , suggesting a selectionist process that shapes which movement patterns persist. He challenges the concept of motor primitives from a developmental systems perspective, arguing that no aspect of the motor system comes for free and that what appears primitive at one level is always a developmental product at another. Key topics include the distinction between REM sleep twitching and wake movement, how corollary discharge develops in early life, why the cortex appears uninvolved in producing twitches at early ages, the relationship between twitching and joint maintenance, and what the developmental perspective offers to robotics and motor control theory. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Kate Jeffery on spatial cognition and grid cells

Sun, 15 Mar 2026 10:00:28 GMT

How does the brain build a map of three-dimensional space when a full volumetric representation would be prohibitively expensive? Neuroscientist Kate Jeffery explains why the rat navigation system appears to favor flat maps stitched together into a mosaic , and what this reveals about the evolutionary trade-offs shaping spatial cognition. Subscribe for more from the Convergent Science Network podcast series. Kate Jeffery joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss her research on how place cells, grid cells, and head direction cells handle the vertical dimension. Her laboratory has found that grid cells, which fire in periodic hexagonal patterns on flat surfaces, do not produce the same metric structure in the vertical plane. On a pegboard where rats move horizontally at different heights, grid fields extend into strips rather than grids. On a climbing wall where the body is parallel to the surface, something more grid-like appears. The implication is that the system maps space relative to the plane of the animal's body rather than constructing a universal three-dimensional coordinate frame. The discussion addresses what this means for models of spatial cognition. Jeffery proposes a multi-planar model in which the brain tiles complex three-dimensional environments with locally two-dimensional map fragments, linked by some coarser three-dimensional information. She explains why this is an efficient evolutionary solution: a full 3D map would require vastly more neural resources, while a patchwork of flat maps supplemented with elevation cues handles most real-world navigation demands. The conversation also explores how the head direction system might cope with three dimensions , whether through a spherical attractor, three orthogonal ring attractors, or a simpler scheme that just tracks yaw on whatever surface the animal occupies. Key topics include the relationship between grid cells and contextual cues, the developmental sequence of spatial cell types, the influence of deep learning on thinking about modularity in the brain, and the practical constraints that ecology imposes on neural representations of space. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with John Lisman on theta-gamma code and brain oscillations

Sun, 15 Mar 2026 09:56:01 GMT

What if the brain organizes thought not as a continuous stream but as a series of discrete packets, timed by nested brain oscillations? Neuroscientist John Lisman explains how theta and gamma rhythms work together to chunk information into ordered sequences , a coding scheme he proposed 20 years ago that recent experimental breakthroughs have finally confirmed. Subscribe for more from the Convergent Science Network podcast series. John Lisman joins Paul Verschure and Tony Prescott at the BCBT summer school to revisit his influential theta-gamma coding hypothesis, first published with Idiart two decades earlier. The core idea is that within each cycle of the slower theta oscillation (roughly 5–15 Hz), the brain fits approximately six or seven discrete gamma cycles (30–100 Hz), and each gamma cycle carries a distinct piece of information. In the hippocampus, this means different spatial locations are represented at different gamma phases within a single theta cycle , not as a continuous signal, but as an ordered, discretized sequence. The discussion explores what recent data from Foster and colleagues has added to this picture: direct evidence that hippocampal representations jump between discrete positions in space, locked to successive gamma cycles, confirming that the phase code is genuinely discrete rather than continuous. Lisman argues this amounts to a multi-part message delivered in under 100 milliseconds , a compressed movie of a navigational path that downstream structures like the basal ganglia could evaluate for costs and benefits during decision-making. The conversation also tackles deeper questions about whether the brain operates with anything resembling a clock cycle, how pattern completion can occur within a single gamma window, and why the irregularity of gamma timing does not undermine the coding scheme. Lisman, Verschure, and Prescott debate the relationship between episodic and statistical memory, the computational parallels to digital processing, and whether oscillatory codes represent a fundamental organizational principle or just one of many strategies the brain employs. Key topics include the theta-gamma nesting hypothesis, discrete phase coding in hippocampus, working memory capacity, attractor dynamics within gamma cycles, decision-making via sequential replay, and the role of brain oscillations in structuring cognition. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Greg Recanzone on cortical plasticity and somatosensory cortex

Sun, 15 Mar 2026 09:51:57 GMT

If the adult brain cannot change, how did you learn anything after childhood? Neuroscientist Greg Recanzone revisits the revolution in adult cortical plasticity , from the landmark digit amputation experiments to his own work showing that perceptual training reshapes somatosensory maps through mechanisms fundamentally different from developmental critical periods. Subscribe for more from the Convergent Science Network podcast series. Greg Recanzone joins Paul Verschure and Tony Prescott at the BCBT summer school to tell the story of how adult cortical plasticity went from heresy to established fact. Beginning with Mike Merzenich and Jon Kaas's digit amputation studies in monkeys, Recanzone describes how the somatosensory map in area 3b completely reorganized to look like a normal four-fingered monkey , not just filling in a gap, but rebuilding topographic order. This was the key insight: receptive fields are dynamic, continuously adjusting synaptic weights relative to neighboring neurons. The consensus that emerged distinguishes developmental plasticity, which involves anatomical rewiring, from adult plasticity, which operates through synaptic weight changes and modulation of inhibition. The discussion then turns to Recanzone's own experiments training monkeys on a vibrotactile frequency discrimination task. The trained skin showed expanded cortical representation, enlarged receptive fields, and, most importantly, dramatically tighter temporal fidelity across the neuronal population. Individual neurons responded no better than untrained controls, but the trained population locked their responses to each stimulus cycle with far less variability, producing a louder and cleaner signal. This enhancement depended critically on task engagement and reward: passive stimulation with identical physical input produced no comparable changes, confirming that neuromodulatory signals gated by attention and reinforcement are essential for adult plasticity. Key topics include why Merzenich and Kaas faced years of resistance to their plasticity findings, how the reorganization following digit amputation differs from visual and auditory cortex lesion effects, why receptive field enlargement during training reflects Hebbian co-activation rather than task demands, what the role of neuromodulators like acetylcholine and dopamine is in gating cortical map changes, how Mike Kilgard's basal forebrain stimulation experiments confirmed that neuromodulation alone can drive map reorganization, and what the practical limits of adult cortical plasticity are for rehabilitation and skill learning. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Edvard Moser on grid cells and entorhinal cortex

Sun, 15 Mar 2026 09:46:19 GMT

How does the brain build an internal map of space , and what happens when that map is slightly wrong? Nobel laureate Edvard Moser describes the discovery of grid cells, their modular organization, and the surprising geometric distortions that reveal how the brain calibrates its spatial metric against the physical world. Subscribe for more from the Convergent Science Network podcast series. Edvard Moser joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss his research on the neural basis of spatial navigation. The conversation traces the path from hippocampal place cells to the discovery of grid cells in the medial entorhinal cortex , neurons that fire in strikingly regular hexagonal patterns as an animal moves through space. Moser explains how targeting electrodes to a more dorsal region of entorhinal cortex, guided by neuroanatomist Menno Witter's expertise on hippocampal connectivity, revealed spatial signals that previous studies had missed simply because they recorded in regions where grid spacing was too large for standard-sized environments. The discussion explores the key properties of grid cells and their organization into discrete modules , clusters of cells with rigidly preserved firing relationships across different environments. Within each module, cells maintain consistent phase offsets, orientations, and spatial scales, providing a reusable metric framework that does not need to be rebuilt for every new environment. Moser describes how grid cells depend on speed and direction inputs for path integration but require continuous calibration against external sensory cues, particularly visual landmarks, to prevent cumulative drift errors. Border cells, head direction cells, and speed cells form a local circuit ecosystem that supports and anchors the grid representation. Key topics include how grid cells were discovered and why earlier studies missed them, what modular organization means for generating unique position codes from redundant grid patterns, how border cells anchor and distort grid patterns near environmental boundaries, why grid axes are offset by 7.5 degrees from wall orientations due to a shearing process, how hippocampal place cells create distinct orthogonal maps for different environments from the rigid grid cell input, and what the lateral entorhinal cortex contributes beyond spatial information to hippocampal representations. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Brian Kolb on epigenetics and brain plasticity

Sun, 15 Mar 2026 09:43:35 GMT

Can stress experienced by a mother rat change the brains of her great-grandchildren , and what does that tell us about how early experience shapes human development? Neuroscientist Brian Kolb presents evidence that epigenetic effects of stress, tactile stimulation, and drugs of abuse persist across at least four generations, with profound implications for understanding literacy, cognitive development, and public health. Subscribe for more from the Convergent Science Network podcast series. Brian Kolb joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss how experience interacts with gene expression to reshape brain circuits and behavior across generations. His research methodology follows a systematic pipeline: first identify behavioral changes, then locate synaptic reorganization in the brain using Golgi staining, then drill down to gene expression changes using methylation analysis and gene chip arrays. Using this approach, Kolb demonstrates that prenatal stress in rats produces increased anxiety, impaired motor and cognitive skills, and measurable changes in prefrontal cortex synaptic organization , effects that persist through at least four generations and can even be transmitted indirectly through a stressed animal's communication with its unstressed mate. The discussion bridges animal research and human development through a compelling analysis of vocabulary acquisition. Children in higher socioeconomic status families are exposed to roughly one million more words by age three, largely through serve-and-return social interaction, setting them on a trajectory that eight years of schooling fails to reverse. Kolb presents evidence from Cuba, South Carolina, and Sweden showing that early intervention programs that pour resources into the first three years of life produce dramatic improvements in literacy and cognitive skills, regardless of the population's baseline. He connects this to his animal work through the mechanism of tactile stimulation, which releases FGF2 and produces widespread synaptic changes and enhanced cognitive abilities in offspring. Key topics include how stress, drugs, and tactile stimulation each leave distinct epigenetic footprints in the brain, why bystander stress transmitted through ultrasonic vocalizations affects offspring development, how early stress may inoculate against later stressors at the cost of reduced cognitive capacity, what the Barker hypothesis predicts about adaptive responses to dangerous environments, and why the first three years of life represent a critical window that determines lifelong cognitive trajectories. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Benny Hochner on octopus and motor control

Sun, 15 Mar 2026 09:40:32 GMT

How does an animal with no skeleton, no somatotopic brain map, and eight arms containing more neurons than its central brain manage to produce precise, goal-directed movements? Neuroscientist Benny Hochner reveals how the octopus solves the seemingly impossible problem of controlling a soft body with infinite degrees of freedom. Subscribe for more from the Convergent Science Network podcast series. Benny Hochner joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss his research on motor control and learning in the octopus , an animal he describes as the most intelligent invertebrate and a remarkable case study in convergent and divergent evolution. With half a billion neurons, most distributed across its eight arms rather than centralized in the brain, the octopus has evolved a radically different solution to motor control than vertebrates. For reaching movements, it reduces its theoretically infinite degrees of freedom to just three by propagating a wave of muscle stiffening along the arm, creating a simple but effective motor program that can be generated even in a completely severed arm. The discussion explores the hierarchical organization of the octopus nervous system, from autonomous arm reflexes to coordinated whole-body behavior. A severed arm can still grasp food and pass it along its suckers toward where the mouth would be. The central brain appears to encode motor programs rather than body maps , no somatotopic organization has been found for either motor commands or sensory processing. Remarkably, tactile discrimination learned with one arm generalizes to all others, confirming central involvement in learning but not in arm-specific representation. Hochner also describes convergent findings in learning and memory: the octopus vertical lobe resembles the mammalian hippocampus in structure and exhibits robust activity-dependent long-term potentiation, though mediated by molecular mechanisms modified from simpler molluscan ancestors. Key topics include why the octopus is scientifically important as an independently evolved intelligent invertebrate, how muscular hydrostats solve the degrees-of-freedom problem through embedded motor primitives, why no body map exists in the octopus central brain, how the fetching movement creates a temporary articulated structure from a boneless arm, what the vertical lobe reveals about convergent evolution of learning mechanisms, and how the octopus challenges conventional assumptions about the necessity of body representation for coordinated action. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Barbara Finlay on brain evolution and evo-devo

Sun, 15 Mar 2026 09:36:46 GMT

Why has the basic architecture of the vertebrate brain remained essentially unchanged for 450 million years , and is that a constraint or an optimal design? Evolutionary neuroscientist Barbara Finlay presents evidence that mammalian brain development follows a remarkably conserved nonlinear timetable, transformable across species with 99 percent accuracy by turning a single dial. Subscribe for more from the Convergent Science Network podcast series. Barbara Finlay joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss the principles underlying brain evolution, drawing on her translatingtime.net database spanning 18 mammalian species. Her central finding is striking: the developmental schedule of the brain, from the birth of the first neurons to the onset of behavior, can be transformed from mouse to cat to monkey to human by a single nonlinear function with extraordinary precision. This conservation extends to remarkably specific events, including when Purkinje cells are born and when layer four cortical neurons are generated. The discussion explores whether this invariance represents a developmental constraint or an actively defended optimal design. Finlay argues for the latter, noting that 450 million years of evolution have preserved this architecture across radical changes in niche , from water to land to air and back. She identifies four core learning engines present in the earliest vertebrates , cortical association, hippocampal memory, basal ganglia reinforcement learning, and cerebellar optimization , and proposes that this combination may explain the explosive success of vertebrates. The conversation also examines how the relative sizes of brain structures trade off, particularly the inverse relationship between isocortex and olfactory bulb, which appears to be mediated by timing shifts in neurogenesis. Key topics include how a nonlinear developmental timetable predicts brain structure timing across all mammals, why the lateral edges of the embryonic brain produce the most variable and plastic structures, what Paul Katz's catalog of swimming marine mollusks reveals about the limits of evolvability, how critical periods may be self-initiated by appropriate input rather than fixed in time, and why the allocation of neural resources between sensory modalities follows predictable patterns shaped by both development and ecological niche. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Randall Beer on dynamical systems and information theory

Sun, 15 Mar 2026 09:33:32 GMT

Is the brain a dynamical system, an information processor, or a prediction machine , and does it even matter which label we choose? Computational scientist Randall Beer argues that these are not competing theories but complementary mathematical lenses, and that real progress requires building theory around carefully analyzed toy models rather than debating metaphors. Subscribe for more from the Convergent Science Network podcast series. Randall Beer joins Paul Verschure and Tony Prescott at the BCBT summer school to present his approach to understanding brain, body, and environment as coupled dynamical systems. Beer makes a sharp epistemological argument: statements like "the brain is a dynamical system" or "the brain is an information processor" are not testable theories but pre-theoretical intuitions, each backed by a body of mathematics that serves as a lens for examining neural systems. No experiment could definitively prove or disprove any of them. What matters is the utility of each lens for generating insight, and Beer advocates maintaining a toolkit of multiple mathematical languages rather than committing to any single framework. The discussion centers on Beer's detailed analysis of a minimal agent performing relational categorization , distinguishing the relative size of two falling objects. Using both dynamical systems theory and information theory applied to the same evolved neural controller, Beer demonstrates that each lens reveals complementary features invisible to the other. Dynamical analysis highlights bifurcations, transient manifolds, and the role of sensor discontinuities, while information-theoretic analysis reveals which combinations of system elements carry the most relevant information at each moment. The invariant pattern across many evolved solutions is a transient manifold that gets spread into a sheet and then sliced by a bifurcation into a decision. Key topics include why brain-body-environment should be the unit of analysis rather than the brain alone, how toy models in the tradition of Galileo's frictionless planes can build fundamental theory, what the difference is between ontological and epistemological claims about neural computation, why dynamical systems theory and information theory are complementary rather than competing, and how Beer plans to extend these analytical tools to the biological nervous system of C. elegans. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Zoltan Molnar on neocortex evolution and homology

Sun, 15 Mar 2026 09:29:57 GMT

Did birds and mammals independently evolve the same brain circuit , and what does that mean for how we define homology? Developmental neurobiologist Zoltan Molnar presents evidence that avian and mammalian forebrains share strikingly similar gene expression patterns and functional properties despite arising from different parts of the embryonic brain. Subscribe for more from the Convergent Science Network podcast series. Zoltan Molnar joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss the evolution and development of the neocortex, tracing the question back to Thomas Willis's 1664 observation that the cerebral cortex is disproportionately enlarged in humans. Molnar argues that while the cortex is clearly central to higher cognitive function, understanding its evolution requires confronting one of the thorniest problems in evolutionary biology: the relationship between the mammalian neocortex and the avian dorsal ventricular ridge, structures that show convergent gene expression, similar electrophysiological properties, and comparable circuit organization, yet develop from different regions of the embryonic telencephalon. The discussion produces a spirited debate about the meaning of homology. Molnar insists on a developmental definition , structures are homologous only if they derive from the same part of the neuroepithelium , and presents lineage-tracing evidence that mammalian layer 4 neurons and avian nidopallium neurons originate from distinct progenitor populations. Verschure and Prescott push back, arguing that convergent gene expression and functional equivalence in the adult brain may warrant a broader evolutionary definition. The conversation also covers how highly conserved homeobox genes mark early brain segments identically across vertebrates, how thalamic inputs may drive convergent differentiation in recipient cells regardless of their developmental origin, and what Harvey Karten's equivalent circuit hypothesis means in light of modern transcriptomic data. Key topics include why neocortex is the key structure for understanding brain evolution, how conserved developmental programs constrain but do not fully determine adult brain organization, what the reeler mutant reveals about the robustness of cortical self-organization, how sauropsids and mammals enlarged different parts of the forebrain, and why the debate over homology versus convergence remains unresolved despite decades of comparative data. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Yaki Setty on synthetic biology and agent-based modeling

Sun, 15 Mar 2026 09:26:28 GMT

Can you grow an organ inside a computer , and would it teach you something biology alone cannot? Computational biologist Yaki Setty describes how agent-based models of stem cell development can reconstruct the pancreas, the C. elegans gonad, and even parts of the brain from first principles, revealing emergent properties that no single experiment could predict. Subscribe for more from the Convergent Science Network podcast series. Yaki Setty joins Paul Verschure and Tony Prescott at the BCBT summer school to present his approach to synthetic organ development using autonomous agent-based modeling. Each cell in the simulation is defined by biologically justified state diagrams , covering differentiation, proliferation, movement, and environmental sensing , with every parameter traceable to published experimental data. The environment is modeled as a three-dimensional grid of voxels containing chemical gradients governed by differential equations, and cells interact with this environment and with each other to produce emergent organ structures. The discussion walks through three applications of increasing complexity. The pancreas model, with over 150 cell states, reproduces the characteristic cauliflower-like morphology of pancreatic tissue and demonstrates how blood vessel scaffolding guides cell aggregation. The C. elegans gonad model achieves quantitative predictions about cell numbers, zone lengths, and cell cycle ratios with far fewer states, validated against experimental measurements within weeks rather than years. The conversation also touches on extending these methods to neural development, where the same platform and principles apply but the complexity of cell types and connectivity presents new challenges. Key topics include how autonomous agent models differ from conventional computational approaches, why all available biological data should be incorporated rather than held back for testing, how mutations serve as the primary validation strategy for these models, what the relationship is between stem cell stemness and differentiation potential, why morphological benchmarks like cauliflower structure are difficult to quantify rigorously, and how these simulations could eventually model disease processes by tracing developmental history back to its origins. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Stefano Ferraina on transitive inference and prefrontal cortex

Sun, 15 Mar 2026 09:23:10 GMT

Can monkeys reason logically , and if so, what does that look like at the level of single neurons? Neurophysiologist Stefano Ferraina presents evidence that prefrontal cortex neurons encode both symbolic distance and serial position during transitive inference, suggesting a neural substrate for logical reasoning in non-human primates. Subscribe for more from the Convergent Science Network podcast series. Stefano Ferraina joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss his research on transitive inference in macaque monkeys. The task requires animals to learn an ordered sequence of abstract visual symbols through pairwise comparisons, then infer the correct ranking of novel, never-before-matched pairs. Surprisingly, monkeys master this within weeks and show a robust symbolic distance effect: comparing symbols far apart in the sequence is easier and faster than comparing adjacent ones, mirroring findings in human numerical cognition. The discussion carefully examines whether this performance reflects genuine logical reasoning or simpler reward-association mechanisms. Ferraina describes a critical control experiment using two separate chains that are subsequently linked, demonstrating that monkeys maintain the transitive ordering even when reward history alone cannot explain their choices. Recording from prefrontal cortex, he finds that roughly half of task-related neurons encode the symbolic distance effect, about 40 percent encode serial position, and a subset of around 20 percent encodes both , suggesting that the same neural population supports multiple aspects of the relational structure. Key topics include how transitive inference is defined and tested in non-human primates, why the symbolic distance effect challenges pure reward-association explanations, what the serial position effect reveals about how symbols are organized along a mental continuum, how the two-chain linking experiment strengthens the case for reasoning over association, the limitations of single-neuron electrophysiology for establishing causality, and what the overlap between symbolic distance and serial position coding in prefrontal neurons implies about the neural architecture of logical inference. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Murray Shanahan on metastability and chimera states

Sun, 15 Mar 2026 09:19:30 GMT

What happens in the brain between perfect synchrony and total disorder , and why might that intermediate zone be where cognition lives? Computer scientist Murray Shanahan explains how metastable chimera states in coupled oscillator networks may capture the dynamic coalitions that govern brain function. Subscribe for more from the Convergent Science Network podcast series. Murray Shanahan joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss his computational work on metastability and chimera states in brain-like networks. The conversation builds on Pascal Fries's communication-through-coherence hypothesis, which proposes that synchronized neuronal populations are positioned to exchange information and cooperate, while desynchronized populations are effectively shut out. Shanahan extends this framework by showing that abstract coupled oscillator models, Kuramoto oscillators, can produce chimera states where one subset of oscillators synchronizes while another remains desynchronized, and that these states are metastable, breaking apart and reforming in new configurations over time. The discussion explores how these dynamics relate to real brain phenomena, including binocular rivalry and resting-state fMRI data. When Kuramoto oscillators are placed on nodes of a real human connectome derived from diffusion tensor imaging, the model produces strong correlations with empirical resting-state functional connectivity , but only when operating in the metastable chimera regime. This finding surprised Shanahan and suggests that the brain may be poised at a critical point between order and disorder, where the richness of its dynamical repertoire is maximized. Key topics include how metastability differs from stable attractors and why it matters for cognition, what chimera states are and why physicists initially overlooked their relevance, how gamma-frequency oscillations facilitate competition and cooperation among distributed neuronal populations, why coupling strength and transmission delays are the key parameters governing these dynamics, and what the relationship is between fast oscillatory mechanisms and the slower dynamics captured by fMRI. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Jon Kaas on motor cortex and posterior parietal cortex

Sun, 15 Mar 2026 09:15:56 GMT

What if the motor cortex does not just encode movements but organizes entire behavioral repertoires, reaching, grasping, defending, across three interconnected cortical stages? Neuroanatomist Jon Kaas describes how long-duration electrical stimulation reveals a modular architecture for goal-directed action in primates that challenges standard views of motor control. Subscribe for more from the Convergent Science Network podcast series. Jon Kaas joins Paul Verschure and Tony Prescott at the BCBT summer school to present his research on the functional organization of the primate motor system, spanning prosimian galagos, New World monkeys, and macaques. Using half-second electrical stimulation pulses, Kaas and colleagues discovered that specific behavioral patterns , hand-to-mouth movements, defensive gestures, reaching, grasping , can be evoked from small, corresponding regions in posterior parietal cortex, premotor cortex, and primary motor cortex. These three stages form a hierarchical but parallel system where posterior parietal cortex integrates high-level sensory information, premotor cortex contributes executive and motivational inputs, and motor cortex provides the critical output. The discussion explores how this organization differs from the standard population-vector model of motor encoding and how it relates to subcortical control. Cooling experiments demonstrate that motor cortex is required for the other stages to produce movements, confirming a hierarchical dependency. Tracer injections reveal that corresponding behavioral zones across all three cortical stages converge on the same regions of the basal ganglia, suggesting a role for subcortical structures in learning and modulating these cortical action modules. Kaas argues that posterior parietal cortex expanded dramatically in primate evolution, adding cortical control over behaviors that were previously managed subcortically. Key topics include how long-duration stimulation reveals behavioral organization invisible to standard mapping, why posterior parietal cortex is a primate innovation with multimodal sensory inputs, how inhibitory connections between behavioral zones enable competition and action selection, what the scaling challenges are from galago to human motor repertoires, and whether the modular organization of stereotyped behaviors can accommodate the arbitrary, learned action sequences that characterize human performance. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Henry Kennedy on cortical connectivity and exponential distance rule

Sun, 15 Mar 2026 09:12:38 GMT

What if the most widely used model of brain connectivity is too crude to capture what actually makes the cortex work? Neuroanatomist Henry Kennedy presents evidence that connection strength, not mere presence or absence of links, is where the real specificity of cortical architecture lies , spanning five orders of magnitude. Subscribe for more from the Convergent Science Network podcast series. Henry Kennedy joins Paul Verschure and Tony Prescott at the BCBT summer school to present his quantitative tract-tracing data from the macaque monkey cortex, challenging the utility of small-world network models for understanding cortical organization. With a connection density of roughly 70 percent among 91 cortical areas, Kennedy argues that binary descriptions of connectivity tell you almost nothing , at that density, everything is virtually connected to everything else. The real information lies in the weights: connection strengths that span five orders of magnitude and follow an exponential distance rule, declining sharply with the physical distance between areas. The discussion reveals that this single exponential distance rule, when used to generate random networks, reproduces many observed properties of the real cortical network , including motif distributions, clique structures, and efficiency measures under progressive thresholding. Kennedy shows that the macaque cortex achieves optimal placement of areas to minimize wiring given these weight constraints, while the mouse brain does not, suggesting fundamentally different organizational principles across species. The comparison between primate and rodent brains reveals that mice have shallower distance-decay functions, fewer cliques, and suboptimal area placement, raising serious questions about using the mouse as a model for primate cortical organization. Key topics include why weighted directed networks are more informative than binary connectivity graphs, how the exponential distance rule generates realistic cortical network properties, what optimal area placement means and how it differs between primates and rodents, why diffusion MRI cannot capture the range of connection strengths revealed by tract tracing, and how cortical folding and surface distances reshape our understanding of the distance rule across species. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Gary Marcus on canonical microcircuit and variable binding

Sun, 15 Mar 2026 09:09:05 GMT

What if the search for a single canonical cortical microcircuit is leading neuroscience in the wrong direction? Cognitive scientist Gary Marcus argues that the brain's apparent uniformity masks functionally critical variations , and that understanding higher cognition requires computational primitives we have barely begun to identify. Subscribe for more from the Convergent Science Network podcast series. Gary Marcus joins Paul Verschure and Tony Prescott at the BCBT summer school to challenge the dominant idea that a single repeated circuit underlies all cortical computation. Drawing on evolutionary biology's principle of duplication and divergence, Marcus argues that cortical areas may share a common template but differ in ways that are functionally decisive , much like a hand and a foot share most of their genes yet serve very different purposes. He contends that the field's attraction to parsimony, while productive in physics, is misleading in biology where complexity is the rule. The discussion identifies what Marcus sees as the most critical gap in computational neuroscience: variable binding. While hierarchical feature detection is reasonably well understood and modeled, the ability to represent variables, instantiate them with particular values, maintain structured representations, and distinguish types from tokens remains unexplained at the neural level. Marcus argues these operations are non-negotiable for higher cognition, particularly language, and that no current neural network architecture adequately captures them. He also revisits his earlier claim about tree structures, now arguing that humans lack true location-addressable memory, which limits our ability to represent unbounded hierarchical structures. Key topics include why the cortex appears uniform under a magnifying glass but differs in functionally important ways, how duplication and divergence applies to cortical circuit evolution, what variable binding is and why it matters for language and reasoning, the limitations of simple recurrent networks for capturing syntax, why labeled-line architectures cannot scale to handle novel representations, and how a phylogenetic approach to cortical circuit types could advance our understanding of human cognition. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Dorothy Fragaszy on tool use and capuchin monkeys

Sun, 15 Mar 2026 09:05:46 GMT

What can a small monkey cracking nuts with a stone tell us about the origins of tool use , and why is there still no theory to explain it? Primatologist Dorothy Fragaszy describes how wild capuchin monkeys develop remarkably skilled percussive tool use through years of socially supported exploration, challenging assumptions about what cognition tool use requires. Subscribe for more from the Convergent Science Network podcast series. Dorothy Fragaszy joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss her fieldwork on tool use in wild bearded capuchin monkeys. These small primates, weighing only two to four kilos, routinely lift stones half their body weight to crack extremely resistant palm nuts with precision and control that takes years to develop. Fragaszy explains that tool use in non-human primates is rare , only a handful of the roughly 560 known primate species use tools habitually in the wild , and that capuchins and chimpanzees appear to have evolved this capacity independently, separated by 35 million years of divergent evolution. The conversation explores why there is no unified theory of tool use in animal behavior, and how Fragaszy draws on two theoretical frameworks: the ecological psychology of the Gibsons, emphasizing how individuals actively discover affordances in their environment, and Bernstein's work on motor coordination, addressing how a system with many degrees of freedom achieves effective, skilled action. Young capuchins are inducted into nut-cracking through a socially rich context , attracted by the sounds, sights, and smells of adult cracking activity , and progress through years of exploratory play before mastering the coordination of anvil, nut, and hammerstone. Key topics include how tool use is defined descriptively rather than theoretically in animal behavior, why extractive foraging rather than anatomical dexterity predicts which species use tools, how capuchins manage the biomechanical challenge of percussive force without injuring themselves, what the developmental trajectory from play to skilled performance reveals about perceptual learning, and why the convergent evolution of tool use across distantly related species argues against strong genetic pre-specification. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with David Redish on cognitive rat and mental time travel

Sun, 15 Mar 2026 09:01:34 GMT

Can rats imagine the future? Neuroscientist David Redish presents evidence that rodents engage in mental time travel , constructing representations of places they have not yet visited , and argues this forces us to rethink the boundaries of animal cognition. Subscribe for more from the Convergent Science Network podcast series. David Redish joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss his research on what he calls the cognitive rat. Using advanced neural decoding methods applied to hippocampal place cells, Redish demonstrates that rats generate self-consistent representations of locations they are not currently occupying , neural signatures of deliberation, imagination, and possibly insight. The conversation traces the intellectual lineage from Tolman's cognitive maps through the discovery of place cells to modern decoding techniques that allow researchers to effectively read the spatial content of ongoing neural activity. The discussion explores four distinct decision-making systems Redish identifies in the mammalian brain, reflexive, deliberative, procedural, and Pavlovian, each with largely separate neural substrates. At decision points, rats produce forward sweeps through upcoming spatial trajectories at roughly 15 times behavioral speed, while at reward locations, replay events compress spatial sequences to 40 times real time. These replay events during waking states appear to support insight and imagination, including novel shortcut sequences the animal has never physically traversed, while sleep replay tends to faithfully recapitulate actual experiences for memory consolidation. Key topics include how to define cognition operationally in non-human animals, the distinction between local and global cognitive maps, why spatial tasks reveal cognitive capacities that non-spatial paradigms miss, how mental time travel relates to episodic memory and future planning, and what the difference between waking and sleep replay tells us about the dual roles of hippocampal sharp-wave events in decision-making versus memory consolidation. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Danielle Stolzenberg on epigenetics and maternal behavior

Sun, 15 Mar 2026 08:56:16 GMT

How does becoming a mother permanently rewire the brain , and could the answer lie not in the genes themselves, but in how experience reshapes their expression? Neuroscientist Danielle Stolzenberg explains how epigenetic mechanisms transform the maternal brain, revealing a molecular bridge between hormones, experience, and lasting behavioral change. Subscribe for more from the Convergent Science Network podcast series. Danielle Stolzenberg joins Paul Verschure and Tony Prescott at the BCBT summer school to discuss her research on the epigenetic basis of maternal behavior in mammals. The conversation centers on a striking biological puzzle: most mammalian females undergo a dramatic shift in responsiveness around the time of birth, and that change persists for life. Stolzenberg investigates how brief experiences with infants, combined with hormonal priming, produce long-lasting changes in gene expression through histone acetylation , a form of cellular memory that alters how neurons in the maternal circuit function without changing the DNA sequence itself. The discussion unpacks how estradiol and oxytocin prepare the brain for motherhood, but experience with pups is what consolidates the behavioral transformation. Stolzenberg presents evidence using histone deacetylase inhibitors to show that enhancing histone acetylation can accelerate maternal learning, reducing the number of pup exposures needed to produce lasting maternal responsiveness. Her work targets the medial preoptic area of the hypothalamus, a region central to maternal care, where she has identified increases in CREB-binding protein following infant interaction. Key topics include the molecular distinction between genetics and epigenetics, how hormones and experience converge on shared chromatin-modifying pathways, the role of CREB-mediated gene transcription in memory consolidation, and why maternal behavior serves as a powerful model for understanding how transient experiences produce permanent changes in brain function. The conversation also addresses whether these epigenetic modifications could be transmitted across generations and what that means for understanding behavioral inheritance. Part of the Convergent Science Network podcast series from the BCBT Summer School.

Podcast with Germund Hesslow on cerebellum and pavlovian conditioning

Sun, 15 Mar 2026 08:53:18 GMT

How does a single Purkinje cell receiving half a million inputs learn to produce a precisely timed eye blink, and why has the cerebellum been so difficult to understand despite its crystalline simplicity? Germund Hesslow reveals what decades of painstaking physiology have uncovered.

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Germund Hesslow describes his journey from Freudian psychology to hardcore cerebellar physiology, drawn by the exceptional quality of research in the Lund laboratory rather than the subject matter itself. The serendipitous discovery that Pavlovian conditioning occurs in the cerebellum united his interests in learning with his technical expertise, launching a 25-year investigation into how associative memory is formed at the cellular level. Working with a decerebrate preparation that retains only the cerebellum and brainstem, Hesslow's group demonstrates that conditioning follows essentially the same rules as in intact animals, taking similar time to acquire and extinguish.

The episode provides a clear account of the cerebellar circuit for eye-blink conditioning. Conditioned stimulus information arrives via mossy fibers and parallel fibers, converging on Purkinje cells that also receive climbing fiber input carrying the unconditioned stimulus signal. With each Purkinje cell receiving up to half a million parallel fiber inputs carrying information about virtually everything happening to the organism, the system is ideally suited for forming associations. The learned response manifests as a precisely timed pause in the Purkinje cell's tonic inhibitory output, which disinhibits the deep cerebellar nuclei to generate the conditioned eye blink.

The central unsolved problem is timing. The conditioned response is adaptively timed to the interstimulus interval: train with 300 milliseconds and the response peaks at 300 milliseconds; train with 500 milliseconds and it shifts accordingly. Hesslow's recent experiments systematically eliminate candidate timing mechanisms. Stimulating mossy fibers directly still produces timed responses, ruling out delays in the input pathway. Stimulating parallel fibers directly yields the same result, eliminating delays in the granule cell layer. The timing mechanism must reside close to the Purkinje cell itself, either in cortical interneurons or in the cell's intrinsic properties.

Hesslow also raises the provocative possibility that different zones of the cerebellum, despite their apparently uniform crystalline structure, may operate with different temporal and functional properties, potentially explaining decades of disagreement between researchers working on eye-blink conditioning, vestibulo-ocular reflex adaptation, and in vitro slice preparations in different cerebellar regions.

Podcast with Etienne Koechlin on prefrontal cortex and cognitive control

Sun, 15 Mar 2026 08:50:05 GMT

Why does the prefrontal cortex prefer not to be involved, and how does a cascade of cognitive control from premotor cortex to frontal pole organize human decision-making? Etienne Koechlin maps the hierarchical architecture of executive function.

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Etienne Koechlin presents a model of prefrontal cortex function centered on the idea that action imposes a fundamental constraint on cognition: it forces the brain to collapse multiple interpretations into a single committed choice. Rather than viewing the prefrontal cortex as a repository of complex representations, Koechlin argues its primary role is to introduce seriality and decisiveness into cognitive processing, excluding alternative interpretations so the organism can act. The system's default state is automated behavior driven by premotor and posterior associative regions; the prefrontal cortex engages only when these routines fail.

The hierarchical organization follows a posterior-to-anterior gradient with three distinct levels. The premotor cortex stores basic stimulus-response associations. When these are ambiguous, the posterior prefrontal cortex incorporates immediate contextual cues from the present environment. When context is insufficient, more anterior regions access episodic information from the past. At the apex, the frontal pole enables the consideration of multiple alternative strategies simultaneously, breaking the pure seriality that characterizes lower levels. Koechlin emphasizes that these levels operate concurrently rather than sequentially, with the system recruiting more anterior regions only as needed.

A key function Koechlin attributes to the prefrontal cortex is monitoring, specifically judging whether a current behavioral strategy remains reliable based on its ability to predict action outcomes. He distinguishes between relative monitoring, which compares alternatives against each other, and absolute monitoring, which evaluates each strategy independently against a reliability criterion. The absolute approach avoids the trap of being locked into a limited set of alternatives and enables the critical decision of whether to persevere with learning or abandon a strategy entirely.

The episode reveals an intriguing limitation: humans can suspend one task to perform a subtask, but attempting a second level of recursive suspension produces severe performance deficits, suggesting the monitoring system operates at only one level without true recursion. Koechlin connects this to the broader question of how automatization transfers complex behaviors from prefrontal control to encapsulated routines in premotor and posterior cortical regions.

Podcast with Eberhard Fetz on brain-computer interface and neurochip

Sun, 15 Mar 2026 08:46:00 GMT

Can a monkey learn to control a single neuron in its motor cortex independently of the muscles it normally drives? Eberhard Fetz traces five decades of work on volitional neural control from biofeedback to brain-computer interfaces.

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Eberhard Fetz recounts the intellectual journey from his pioneering 1969 experiments on operant conditioning of single motor cortex neurons to the development of the Neurochip, an autonomous neural interface that creates artificial connections between brain sites, spinal cord, and muscles. His early work demonstrated that monkeys could learn to volitionally increase or decrease the firing rate of individual neurons to earn rewards, with the key insight that the animal was not simply conditioning a neuron in isolation but learning to control the pattern of activation flowing through a fixed circuit in novel ways.

A central theme is the remarkable flexibility of neural control. Fetz showed that neurons with consistent relationships to specific muscles could be operantly dissociated: a cell that always co-activated with the biceps could be driven to fire without any muscle activity, and vice versa. He interprets this not as rewiring of anatomical connections but as the brain exploiting its existing circuitry in variable patterns, analogous to trains taking different routes over fixed railroad tracks. This distinction between structure and activation patterns has profound implications for understanding how the brain achieves flexible behavior without constantly modifying its physical connectivity.

The Neurochip technology, developed with Andy Jackson and Jaideep Mavoori, enabled a breakthrough: autonomous, battery-powered devices mounted on the monkey's skull could record neural activity and deliver spike-triggered stimulation during days of free behavior. This allowed the creation of artificial recurrent connections between cortical sites, between cortex and spinal cord, and between cortex and muscles. In one paradigm, monkeys with temporarily paralyzed wrist muscles learned to drive a cursor into targets by activating motor cortex cells that directly stimulated the denervated muscles through the Neurochip.

The episode explores the relationship between volitional control and mental imagery, the challenges of reverse recruitment order when electrically stimulating muscles, and the potential for bidirectional brain-computer interfaces to restore function after spinal cord injury. Fetz draws a provocative parallel between the self's relationship to the brain and the brain's relationship to external devices, suggesting that the same mechanisms of flexible volitional control apply in both domains.

Podcast with Tim Pierce on olfaction and chemical sensing

Sun, 15 Mar 2026 08:42:07 GMT

Why can you smell a molecule you have never encountered before, and how does the nose use antagonism, binding proteins, and chemotopic maps to decode the chemical world? Tim Pearce explores the engineering principles behind biological olfaction.

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Tim Pearce provides a comprehensive tour of natural olfaction, from the molecular interactions at the receptor sheet to the computational principles that enable detection of thousands of diverse chemical compounds. He highlights the system's remarkable foreignness property: unlike vision with its handful of receptor types, olfaction deploys over one percent of the genome to create a broad, relatively unbiased sampling of chemical space, capable of responding to novel molecules never previously encountered by the species.

The episode reveals several layers of molecular complexity that precede neural processing. Odorant binding proteins in the nasal mucosa act as selective transporters, shifting sorption spectra to capture hydrophobic compounds that would otherwise resist the liquid phase. Odor degrading enzymes terminate signals in a timely fashion. Most surprisingly, recent evidence shows that receptor-ligand interactions involve not just affinity but also efficacy, and that widespread antagonism between molecules means the neural response to mixtures is far from a linear sum of individual components. These nonlinear competitive interactions at the receptor level fundamentally shape the olfactory code.

Pearce describes a chemotopic organization of the receptor sheet where molecular features like carbon chain length, functional groups, and hydrophobicity map onto different spatial zones, driven partly by differential sorption along the airflow path and partly by the zonal expression of receptor families including ancient fish-derived class 1 receptors. Analysis of molecular descriptors reveals that despite hundreds of possible chemical features, the effective dimensionality of odor space is surprisingly low, with principal components capturing much of the perceptual variance.

The discussion also covers retronasal olfaction, where volatile compounds from food reach the receptor sheet through the back of the nose and produce qualitatively different percepts than the same compounds delivered orthonasally, even at the level of receptor sheet activation patterns. Pearce connects these biological insights to engineering principles for artificial olfactory systems, arguing that the conserved architectural motifs found across species from insects to mammals provide a blueprint for building chemical sensing systems.

Podcast with Marc Toussaint on planning as inference and graphical models

Sun, 15 Mar 2026 08:39:17 GMT

What if planning is not about computing value functions but about performing probabilistic inference? Marc Toussaint shows how recasting optimal control as message passing opens new computational pathways for robotics and decision-making.

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Marc Toussaint presents a theoretical framework that reformulates planning and optimal control as probabilistic inference in graphical models. Rather than iterating backward through Bellman equations to compute value functions, his approach computes both forward and backward messages whose product yields a posterior distribution over actions. This shift in perspective is not merely notational: it leads to genuinely different approximation algorithms, particularly for complex problems like partially observable Markov decision processes and factored state spaces where traditional value function methods struggle.

The conversation traces the intellectual lineage from Kalman's duality between control and filtering through Bert Kappen's work on path integrals to Toussaint's own generalization that operates over joint state-control processes without restrictive assumptions about dynamics or cost structure. A key theoretical achievement is demonstrating that many existing reinforcement learning algorithms emerge as special cases of this unified formulation, providing both theoretical elegance and inherited empirical validation.

Toussaint derives a model-free reinforcement learning algorithm from this framework where the policy is represented as a Boltzmann distribution. Analysis of its fixed-point properties reveals a surprising result: for non-optimal actions, the Boltzmann energy diverges to negative infinity, making them vanishingly improbable, while for optimal actions, it converges exactly to the optimal value function. The framework handles goal conflicts through the natural machinery of probabilistic inference, where inconsistent evidence simply reduces likelihood and the system finds probabilistic compromises.

The episode also explores Toussaint's robotics applications, where model-based approaches using stochastic relational rules enable robots to generalize from minimal experience. Active exploration strategies that maximize information gain prove essential in the exponentially large state spaces created by relational representations of multi-object environments, allowing a robot that has observed balls rolling to intelligently seek out non-ball-shaped objects to test next.

Podcast with Cyriel Pennartz on hippocampus and ventral striatum

Sat, 14 Mar 2026 12:59:59 GMT

How do the hippocampus and ventral striatum coordinate to tag locations with reward value, and what happens to place cells when something motivationally significant changes? Cyriel Pennartz reveals population-level state transitions in the rat brain.

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Cyriel Pennartz presents a detailed picture of how the rat brain's cognitive architecture processes spatial, motivational, and action-related information through the cortico-basal ganglia-hippocampal loops. He describes a continuous topographic organization where the dorsolateral striatum handles detailed sensorimotor associations and habits, the ventromedial striatum processes action-outcome relationships, and the ventral striatum integrates spatial and motivational cues. Rather than supporting a strict actor-critic division, Pennartz argues for more homogeneous computational principles operating across the striatum, with different loops processing different content but using similar mechanisms.

A central finding concerns how hippocampal place cells and ventral striatal neurons respond to motivationally relevant events. Recording from approximately 600 neurons simultaneously, Pennartz discovered that reward-predictive cue lights trigger coordinated state transitions across both structures. Using K-means clustering in high-dimensional neural state space, he identified moments where the population activity undergoes a coherent shift, with a majority of cells showing marked firing rate changes. These transitions occur not only in response to explicit cues but also spontaneously when the rat enters reward-associated chambers, and they are correlated between hippocampus and ventral striatum.

The episode explores an intriguing observation about hippocampal place field properties: reward sites attract unusually small, precise micro-place fields compared to the larger fields found in non-rewarded compartments. Pennartz suggests this finer spatial scaling reflects both the behavioral complexity at reward sites and the biological importance of precise spatial knowledge at these locations. He proposes that the hippocampus provides a spatio-temporal scaffold onto which motivationally significant events are tagged, analogous to the ancient Roman memory palace technique.

The discussion also addresses the four key information domains processed through these loops: cues, actions, motivation, and space, with time emerging as a potential fifth dimension handled through ramping firing rate responses and possibly cerebellar timing circuits operating at finer temporal resolutions.

Podcast with Paul Verschure on consciousness and distributed adaptive control

Sat, 14 Mar 2026 12:56:34 GMT

What if consciousness evolved not to perceive the world but to survive in a world full of other minds? Paul Verschure proposes that the unified conscious scene solves a credit assignment problem created by parallel social simulations.

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In this episode, Paul Verschure is interviewed by Tony Prescott and Tim Pearce about his theory of consciousness and its relationship to his Distributed Adaptive Control (DAC) architecture. Verschure begins by surveying the landscape of consciousness research, identifying five families of necessary but insufficient conditions: embodied grounding (Metzinger, Damasio), sensorimotor coupling (O'Regan), predictive simulation (Hesslow), integration and differentiation (Tononi, Edelman), and global workspace dynamics (Baars, Dehaene). He argues that each captures a real feature of conscious processing but none alone is sufficient.

The DAC architecture provides the broader framework: a layered control system with reactive, adaptive, and contextual layers, crossed by columns processing world states, self states, and action. Verschure argues this architecture handles the H4W problem of interacting with the physical world (why, what, where, when) but does not require consciousness. The critical transition occurs during the Cambrian explosion when organisms suddenly faced a world populated by other agents whose internal states, goals, and strategies are hidden from surface observation.

Verschure's central hypothesis is that consciousness evolved to solve the credit assignment problem created by running multiple parallel simulations of other agents' intentions. Real-time behavior is controlled by these parallel loops, but their outputs may conflict. The unified conscious scene serves as a delayed but coherent compression of all simulations into a singular assessment of what is actually happening, collapsing the possible into the actual. This singular state can then propagate value signals back to the parallel controllers, optimizing their future performance. The conscious scene runs behind real time, consistent with Libet's findings, but serves a genuine causal function rather than being epiphenomenal.

The episode includes a critical examination of Tononi's integrated information theory, where Verschure argues that phi-like measures of neural variability fail to distinguish between pre-conscious states with multiple competing options and the unitary conscious scene that emerges after competitive selection.

Podcast with Alex Kacelnik on new caledonian crow and tool use

Sat, 14 Mar 2026 12:47:40 GMT

Can a crow that has never seen a particular problem still build the right tool to solve it, and what does that tell us about the nature of animal intelligence? Alex Kacelnik explores the boundaries between insight and learning in New Caledonian crows.

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Alex Kacelnik brings a biologist's perspective to animal cognition, positioning intelligence as an evolved toolkit shaped by natural selection rather than an abstract capacity to be ranked on a human-centric scale. He draws a critical distinction between risk, where probabilities are known, and uncertainty, where even the nature of the problem is unclear, arguing that learning transforms individual uncertainty into manageable risk by filling in the parameters that evolution could not anticipate.

The centerpiece of the discussion is the New Caledonian crow, the most intensely tool-dependent non-human species known. These birds manufacture at least five categories of tools including hooks, straight sticks, and elaborately shaped pandanus leaf strips, showing regional variation that suggests cultural transmission. In laboratory settings, the crows demonstrate remarkable flexibility: they select tools of appropriate length and diameter for specific problems, build hooks when straight tools will not work, and solve multi-step problems requiring sequential tool use on a trial-unique basis. Kacelnik emphasizes that these behaviors cannot be fully explained by chaining previously reinforced responses, as the complete sequences have never been experienced before.

Yet Kacelnik resists easy mentalistic interpretations. He positions himself closer to the "killjoy behaviorist" than the "mystical psychologist," insisting that terms like insight, planning, and understanding should only be used when backed by algorithmic models of how experience translates into novel solutions. A key experiment illustrates this principled caution: crows could innovate by dropping stones into a mechanism to release food, but only if they had prior experience with how the magnetic release mechanism worked. Innovation requires partial knowledge as scaffolding, not magical leaps of comprehension.

The episode also examines how crows use tools not just for food extraction but for exploring potentially dangerous objects at a safe distance, and how sexual selection in siskins illustrates the complex evolutionary pressures shaping cognitive abilities across bird species.

Podcast with Aldo Genovesio on prefrontal cortex and goal representation

Sat, 14 Mar 2026 12:42:04 GMT

Why does the monkey prefrontal cortex keep future goals and past goals in separate neural populations, and what does the frontal pole exclusively care about? Aldo Genovesio reveals how the primate brain organizes goal-directed behavior.

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Aldo Genovesio presents neurophysiological findings from single-cell recordings in the monkey prefrontal cortex that illuminate how the brain represents goals, strategies, and task monitoring. Using a strategy task where monkeys must remember previous goals to determine future actions, his laboratory discovered that prefrontal neurons encode conjunctions of abstract information: individual cells combine representations of strategy (repeat-stay or change-shift) with specific goals or stimulus features, revealing a rich combinatorial code for task-relevant variables.

A striking organizational principle emerges from the data: neurons encoding future goals and neurons encoding past goals form separate, non-overlapping populations within the same prefrontal region. Future goal cells show correlated activity with each other, suggesting they form a coherent network capable of driving premotor cortex toward action selection. Past goal cells, by contrast, show no such inter-neuronal correlation. Genovesio interprets this segregation as potentially facilitating output monitoring, the ability to distinguish accomplished goals from pending ones, a function known to be impaired in patients with prefrontal damage and dementia.

The conversation takes a surprising turn with findings from the frontal pole, the most anterior region of the cortex. Recording from hundreds of neurons, Genovesio found that approximately 30 percent encode a pure monitoring signal: they respond exclusively during feedback about whether the monkey succeeded or failed, with no representation of stimuli, strategies, future goals, or past goals. This extreme selectivity contrasts sharply with the mixed representations found in more posterior prefrontal regions and suggests that the frontal pole performs a highly specialized abstraction rather than simply integrating more information as hierarchical models might predict.

The episode raises fundamental questions about how the brain transitions goal representations from future to past status, whether the frontal pole's monitoring signal serves as a gate for updating goal networks, and how these findings relate to the broader hierarchical organization of the frontal lobe.

Podcast with Peter Mombaerts on olfactory system and odorant receptor genes

Sat, 14 Mar 2026 12:13:59 GMT

How does a mouse nose with 1,200 receptor genes wire itself into a precise sensory map, and why is that map less stereotyped than we once believed? Peter Mombaerts explores the genetics and development of olfactory circuit formation.

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Peter Mombaerts describes the remarkable complexity of the mouse olfactory system, where approximately 1,200 odorant receptor genes each expressed by a distinct population of sensory neurons must organize their axonal projections into roughly 3,600 glomeruli in the olfactory bulb. Using gene targeting and molecular labeling techniques, his laboratory has spent two decades investigating how this glomerular map develops and what role the receptor proteins themselves play in axon guidance and glomerular identity.

A central theme is the surprising degree of variability in glomerular positioning. Mombaerts challenges the widely used term "stereotyped" to describe the glomerular map, demonstrating that even between the left and right bulbs of the same inbred mouse, the relative positions of identified glomeruli can be inverted. He prefers terms like "recognizable" or "reproducible," noting that the precision is insufficient to construct a definitive atlas as has been done for Drosophila. This variability has important implications for understanding the mechanisms of map formation: if the map were truly stereotyped, extremely complex molecular guidance mechanisms would be required, but acknowledging the jitter relaxes these demands considerably.

The conversation explores the genomic organization of odorant receptor genes, which Mombaerts describes as "haphazard," distributed across approximately 40 loci with the largest cluster containing around 300 genes. Expression levels vary over two orders of magnitude between different receptor types, and the one-neuron-one-receptor rule, while strongly supported, remains an asymptotic conclusion. Remarkably, replacing an odorant receptor's coding region with the beta-2 adrenergic receptor still produces neurons that form a recognizable glomerulus and respond to appropriate ligands, suggesting that the receptor protein's role in axon guidance may not be unique to olfactory receptors.

The episode also addresses the emerging recognition that odorant receptor genes are expressed outside the nose, including in kidneys where knockout of one receptor affects blood pressure regulation, hinting at broader biological roles for this gene family beyond olfaction.

Podcast with Sten Grillner on lamprey and central pattern generator

Sat, 14 Mar 2026 12:10:30 GMT

How does a 560-million-year-old fish illuminate the control architecture behind all vertebrate movement? Sten Grillner traces the neural circuits of locomotion from lamprey spinal cord to human basal ganglia.

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Sten Grillner presents decades of work on the lamprey, a jawless fish that emerged during the Cambrian explosion, as a model for understanding the conserved control systems underlying vertebrate motor behavior. He explains how the lamprey's spinal cord contains approximately 100 central pattern generators (CPGs) that produce rhythmic swimming through the interplay of excitatory premotor interneurons, inhibitory coordination neurons, and critical membrane properties including NMDA receptors, voltage-dependent calcium channels, and calcium-activated potassium channels. Even without sensory feedback, the isolated spinal cord generates well-coordinated locomotor patterns, though stretch receptors provide essential compensation for environmental perturbations.

The conversation reveals how detailed computational models of the lamprey spinal cord, incorporating biological variability in cellular properties across neuron populations, demonstrated that this variability is not noise but a design feature essential for stable motor output. A striking finding from large-scale simulations with 10,000 neurons showed that modifying just 5-10 percent of the network could entirely transform the pattern of activity, enabling transitions between forward and backward swimming.

Grillner then ascends the neural hierarchy to describe how basal ganglia circuits control behavior through a layered architecture. The substantia nigra reticulata and globus pallidus project directly to brainstem locomotor command centers and the tectum, providing powerful inhibitory gating of motor programs. The striatum receives cortical input and interfaces with the thalamus in recurrent loops. He presents this as a four-layered control structure: CPGs at the base, brainstem motor nuclei, the nigra-pallidus output layer, and the cortex-striatum input layer, with the thalamus providing modulatory feedback across the upper layers.

The discussion explores how this basic architecture has been elaborated through vertebrate evolution, from the emergence of paired fins in elasmobranchs to the development of limbs in tetrapods, while the fundamental circuit principles remain remarkably conserved. Grillner argues that new motor capabilities arise not from qualitative changes in spinal circuitry but from the parceling out of interneuron populations to independently control new appendages.

Podcast with Peter Gardenfors on conceptual spaces and knowledge representation

Sat, 14 Mar 2026 12:06:18 GMT

Can the way we perceive forces explain how we understand both physical actions and social interactions? Peter Gardenfors extends his conceptual spaces framework from static objects to the dynamic world of action and events.

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Peter Gardenfors introduces his theory of conceptual spaces as a geometric approach to knowledge representation that sits between symbolic AI and neural networks. The framework organizes knowledge along quality dimensions grouped into domains, such as the three-dimensional color space of hue, brightness, and saturation. Concepts correspond to convex regions in these high-dimensional spaces, with prototypes at their centers of gravity. Gardenfors describes the framework as neo-Kantian: some domains are innate, tied to our sensory organs, while others are culturally acquired and can expand throughout development.

The conversation takes a fascinating turn when Gardenfors extends this framework to action representation. Rather than treating actions as static classifications, he proposes that we perceive actions primarily through patterns of force, specifically the second derivative of movement. Drawing on Gunnar Johansson's point-light display experiments showing that humans identify biological motion from minimal cues within 200 milliseconds, Gardenfors argues that our brains impose a notion of force as a kind of dynamic contour on perceived movement. This force-based interpretation extends beyond Newtonian physics to encompass social forces like authority and attraction, suggesting that the brain assigns pseudo-causal relationships to observed changes regardless of their true physical origins.

Gardenfors then develops a minimal theory of events built on two vectors acting on a patient: a force vector describing what causes change and a result vector describing the change itself. This decomposition handles cases from simple physical interactions to events where forces balance and nothing happens, though Gardenfors acknowledges that highly abstract events like the Olympics remain challenging for the framework. The discussion explores how this event structure maps onto language, with the patient, agent, force, and result components providing a cognitive foundation for how we construct and understand sentences about the world.

Throughout the episode, the interplay between perception, action, and language emerges as a central theme, with conceptual spaces serving as a modality-independent representational engine that bridges bottom-up sensory processing and top-down symbolic reasoning.

Podcast with Friedemann Pulvermuller on word meaning and embodied semantics

Sat, 14 Mar 2026 11:50:47 GMT

Where in the brain does the meaning of a word live, and why does hearing "kick" activate your leg motor cortex? Friedemann Pulvermuller unpacks how the brain grounds language in sensory and motor experience.

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Friedemann Pulvermuller presents a neurobiological account of word meaning that challenges traditional modular theories of semantics. Drawing on his mentor Valentino Braitenberg's vision of the cortex as an information mixing system, Pulvermuller argues that meaning arises from distributed cortical circuits where neurons that were originally specialized for vision or motor control become cross-modal through mutual linkage. The result is that understanding a word like "grasp" activates hand motor representations, while "kick" engages leg-related cortical areas, with activation patterns overlapping those produced by actual movements.

The conversation carefully distinguishes four facets of semantics: referential, combinatorial, abstract, and emotional. Referential semantics connects words to objects and actions in the world, solving the symbol grounding problem that purely symbolic approaches cannot address. Combinatorial semantics captures statistical co-occurrence patterns between words, allowing even a blind person to learn that strawberries are red. Abstract semantics, illustrated through the concept of freedom, requires more computational power because multiple diverse prototypical instantiations must be linked through logical either-or operations. Pulvermuller acknowledges these categories represent extremes on a continuum rather than hard boundaries.

The empirical evidence builds from early EEG studies showing differential hemispheric activation for content versus function words, through PET studies of tool and animal naming, to the critical finding that action verbs related to different body parts produce somatotopically organized activation in motor cortex. This body-part specificity, controlled for linguistic confounds like imageability and grammatical class, provided the strongest evidence that semantic processing engages sensorimotor systems in a content-specific manner.

Pulvermuller frames his approach within a Braitenberg-inspired correlation learning framework, where Hebbian strengthening of connections between co-active neural populations creates the distributed circuits that carry meaning, offering a mechanistic bridge between neural anatomy and the richness of human language.

Podcast with Nick Strausfeld on brain evolution and cambrian explosion

Sat, 14 Mar 2026 11:38:22 GMT

What can a 535-million-year-old fossilized brain tell us about the origins of our own nervous system? Nick Strausfeld reveals how ancient arthropod fossils are rewriting the evolutionary history of the brain.

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Nick Strausfeld makes a compelling case for why neuroscience must be grounded in evolutionary and comparative biology. He argues against the over-reliance on a handful of model organisms, insisting that understanding the brain's design principles requires studying nervous systems across a wide range of species. The conversation traces the deep architectural features shared by insect and crustacean brains, revealing a common organizational template built around glomerular processing units that can serve olfactory, visual, or tactile modalities with fundamentally similar computational circuits.

Strausfeld describes a hierarchical brain architecture where sensory-specific processing occurs at peripheral levels while higher centers like mushroom bodies and the central body complex provide substrates for allocentric memory, behavioral choice, and complex decision-making. He proposes that these integrative structures may derive from an ancient, pre-segmental ancestor shared with polychaete worms, representing a "brain within the brain" that was later incorporated into the arthropod head. The discussion explores how ecological pressures drive variation in neural organization, with examples of how different fly species show divergent lobular plate architectures corresponding to their distinct flight behaviors.

The most striking revelation concerns Strausfeld's discovery of fossilized brains from the Cambrian period. Working with specimens from the Chengjiang mudstone dating to 535 million years ago, he identified a stem-group arthropod called Fuxianhuia whose brain shows three fused ganglia and three nested optic neuropils characteristic of modern crustaceans, despite having an extremely simple body plan. This finding overturns the assumption that branchiopods represent the ancestral condition and demonstrates that sophisticated neural architecture preceded the explosive diversification of body forms during the Cambrian.

The episode challenges the intuition that brains evolve from simple to complex, highlighting examples of evolutionary reversal and loss, and argues that direct anatomical evidence from fossils is essential for reconstructing neural evolution in ways that molecular phylogenetics alone cannot achieve.

Podcast with Moshe Bar on proactive brain and prediction

Sat, 14 Mar 2026 11:34:48 GMT

How does your brain decide what you're seeing before you've even finished looking? Moshe Bar reveals how the orbital frontal cortex uses blurry, low-resolution snapshots of the world to generate rapid predictions that shape perception in real time.

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In this episode, Moshe Bar challenges the textbook separation between perception and cognition, arguing that these processes are deeply intertwined rather than sequential. He presents evidence that the orbital frontal cortex (OFC) receives coarse, low spatial frequency visual information and uses it to generate top-down predictions that actively guide how we perceive our environment. Bar estimates the balance between bottom-up sensory input and top-down prediction can range from zero to one hundred percent depending on context, from meditative states where expectations are silenced to planning scenarios driven entirely by internal models.

Bar describes how faces can be categorized as threatening or non-threatening in as little as 39 milliseconds using low spatial frequency information, with the amygdala playing a key role. He positions the OFC not as a purely visual area but as a polysensory prediction hub that integrates subcortical and cortical inputs to anticipate what is coming next across multiple timescales. The discussion explores how OFC predictions relate to contextual memory networks involving medial prefrontal cortex, parahippocampal cortex, and retrosplenial cortex, each contributing different aspects of scene understanding from abstract schemas to specific spatial details.

A particularly compelling segment examines how contextual associations are organized in the brain. Using MEG phase-locking analysis and Granger causality, Bar shows that highly contextual objects activate a tightly synchronized three-node network, while non-contextual objects do not produce the same coherent activation. The conversation also addresses how spatial and temporal dimensions of context are processed, and how ambiguous stimuli like the word "bank" require the brain to activate and then suppress competing context frames.

Bar's work raises fundamental questions about the evolutionary origins of rapid prediction, the relationship between the OFC and amygdala as parallel threat-assessment systems, and whether the brain's predictive machinery extends beyond vision to prepare the body for action across all sensory modalities.

Podcast with Mandyam Srinivasan on honeybee cognition and waggle dance

Sat, 14 Mar 2026 11:31:00 GMT

A honeybee learns a color in five visits, generalizes matching rules across sensory modalities, and signals food distance to nestmates through dance. How does a brain with fewer than a million neurons achieve cognitive feats that challenge our understanding of intelligence?

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Srinivasan explains that insect compound eyes create a fundamentally different visual world than vertebrate camera eyes. With the two compound eyes too close together for effective stereo vision, bees rely on optic flow, the apparent motion of images across the retina during flight, to gauge distance. His tunnel experiments demonstrated that bees measure distance in units of integrated optic flow rather than absolute meters, which means flying over a featureless lake versus a textured forest produces different distance readings. The system works because all bees from the same hive take the same route, so calibration errors cancel out in the waggle dance communication.

The waggle dance itself encodes both direction and distance to food sources. Direction is referenced to the sun's position or the sky's polarization pattern, while distance is conveyed by the duration of the waggle run. Srinivasan describes how recruited bees evaluate the ratio of caloric return to energy expenditure, effectively performing cost-benefit analysis before choosing which advertised food source to visit. Intriguingly, angular precision in the dance increases with distance, compensating for the fact that a fixed angular error maps to a larger search area at greater range. The evolutionary origins of the dance may trace to solitary butterflies that perform waggle movements without an audience, suggesting the behavior was co-opted for communication from a pre-existing motor pattern.

The cognitive capabilities of bees extend far beyond navigation. They learn colors in five rewards, discriminate wavelengths with near-human precision, and exhibit color constancy across lighting conditions. Most remarkably, bees trained on a delayed match-to-sample task using odors spontaneously transfer the matching rule to visual stimuli they have never been trained on, demonstrating cross-modal concept learning. The mushroom bodies, which expand dramatically when bees begin foraging, likely serve as the invertebrate analog of the hippocampus, though the physiological basis of bee memory remains almost entirely unknown.

Podcast with Guenther Knoblich on joint action and entrainment

Sat, 14 Mar 2026 11:27:14 GMT

How do two tango dancers achieve millisecond-level coordination without a conductor? Guenther Knoblich decomposes joint action into five mechanisms, from unconscious entrainment to motor simulation, revealing that even speeding up is a sophisticated coordination strategy.

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Knoblich defines joint action broadly as any coordination between people in space and time, deliberately avoiding distinctions between intentional and unintentional, cooperative and competitive. This breadth allows him to identify shared mechanisms across seemingly different situations: table tennis opponents and dance partners may rely on the same low-level coordination processes despite having opposing goals. He identifies five mechanisms ranging from simple to cognitively demanding: entrainment, speeding, simulation, monitoring, and signaling.

Entrainment, borrowed from physics, describes how oscillating systems with perceptual coupling tend to synchronize automatically. People walking near each other converge on the same pace without intending to; rocking chairs in the same room align their rhythms. But Knoblich argues entrainment alone cannot explain most joint action. His group discovered speeding as an independent strategy: when asked to synchronize discrete responses with a partner, people speed up by about 50 milliseconds compared to individual performance. This is not competition or arousal. Correlation analysis reveals a causal chain: faster reactions reduce variability, and reduced variability decreases asynchrony between partners. The effect appears immediately and remains constant, suggesting a general mindset shift rather than a learned adjustment.

The discussion of motor simulation draws on EEG evidence from a bottle-passing task. The receiver shows motor preparation peaks time-locked to the giver's action initiation, well before their own receiving movement begins, demonstrating that the motor system predicts a partner's actions in parallel with planning one's own. Knoblich proposes that the same forward models used for individual action planning are repurposed to simulate others, with expertise modulating simulation fidelity: an expert dancer simulates observed dance movements with greater motor activation than a novice. This framework connects individual motor control to social cognition through shared predictive mechanisms rather than requiring a separate theory-of-mind module.

Podcast with Giovanni Pezzulo on predictive brain and embodied cognition

Sat, 14 Mar 2026 11:24:05 GMT

Watch an expert rock climber study a wall they have never seen before, and you are watching the motor system think. Giovanni Pezzulo explains how the predictive brain reuses sensorimotor knowledge for problem solving, imagery, and understanding other minds.

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Pezzulo distinguishes two kinds of prediction that are often conflated in the literature. Implicit prediction, as in classical conditioning, attaches value labels to stimuli without maintaining an internal model of the predictive relationship. Explicit prediction builds structured forward models of environmental regularities that can be run offline for planning, decision-making, and mental simulation. The predictive brain hypothesis proposes that the brain systematically incorporates environmental structure into such models and uses them to drive perception, attention, and action selection proactively rather than reactively.

The interview centers on embodied problem solving, illustrated by competitive rock climbers who study an unfamiliar wall before ascending. Expert climbers visibly rehearse motor sequences, moving their arms to simulate grasps and reaches, using their bodies as external scaffolds for cognition. This is not mere motor programming: the climber must assemble partial skills in novel combinations, evaluate reachability constraints, and explore a vast space of possible routes, all guided by proprioceptive knowledge that only expertise provides. Memory experiments confirm that expert climbers remember difficult routes significantly better than novices, but only when the routes are actually climbable, demonstrating that motor expertise structures perception and memory rather than providing a generic cognitive advantage.

Pezzulo builds from individual action to social cognition through a series of escalating steps. If your motor system generates predictions about your own actions, it can also predict the actions of others by running the same forward models with different parameters. This simulation-based understanding of others bootstraps joint action planning, coordination, and eventually the ability to influence another person's beliefs and intentions. Clinical evidence supports this continuum: patients with bilateral parietal lesions cannot inhibit imagined actions from becoming overt movements, and utilization behavior patients automatically grasp objects they see, revealing the tight coupling between internal simulation and motor execution that normally remains covert.

Podcast with Donald Pfaff on generalized arousal and brainstem

Sat, 14 Mar 2026 11:21:02 GMT

Beneath every thought, every emotion, and every decision lies a primitive engine that neuroscience has ignored for 60 years. Donald Pfaff makes the case that generalized arousal is the essential foundation of all brain function, from fear to physics exams.

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Pfaff argues that arousal has been wrongly dismissed as non-specific background noise. He reframes it as the necessary precondition for all motivated behavior: alertness to sensory stimuli, motor activity, and emotional reactivity. The hyperthyroid individual who responds to every stimulus, cannot stand still, and weeps or laughs readily exemplifies high arousal; the hypothyroid couch potato who is sluggish, unreactive, and emotionally flat exemplifies the opposite. His high-throughput behavioral assay measures mice in isolation across sensory responsiveness, locomotion, and conditioned fear responses, 50 times per second, 24 hours a day, seven days a week.

Covariance analysis across multiple arousal-related tests reveals that generalized arousal accounts for approximately 30% of behavioral variance, a substantial foundation upon which specific drives like hunger, fear, and sex layer additional motivation. Pfaff frames this quantitatively: for the act of raiding the refrigerator at midnight, generalized arousal contributes roughly 30%, hunger drive perhaps 50%, personality factors another portion, with an irreducible margin of error that should trouble any judge deciding capital punishment cases.

The neural substrate involves both ascending and descending pathways. Five ascending neuromodulatory systems, norepinephrine, dopamine, serotonin, histamine, and acetylcholine, project from brainstem to forebrain, each clinically familiar through drugs that manipulate them. Pfaff distinguishes a phylogenetically ancient low road through the hypothalamus and basal forebrain from a high road through the thalamus to cortex. Giant neurons in the nucleus gigantocellularis of the brainstem reticular formation may serve as critical hubs, projecting both rostrally and caudally, linking arousal to both cortical activation and autonomic control. The neuropeptide CRF, operating through three receptor types, provides a specific neuromodulatory mechanism for danger-related arousal.

Podcast with Dmitri Chklovskii on predictive coding and lattice filter

Sat, 14 Mar 2026 11:17:04 GMT

Can the brain's visual wiring be explained by the same engineering principles that optimize telephone networks? Dmitri Chklovskii shows how predictive coding theory and lattice filters map onto real neural circuits, from fly photoreceptors to the mammalian LGN.

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Chklovskii bridges theoretical physics and neuroscience by applying adaptive signal processing frameworks to sensory systems. Building on Barlow's redundancy reduction principle and the predictive coding work of Srinivasan, Laughlin, and Dubs, his group derives normative predictions for neural filter shapes with no free parameters: once you specify the natural stimulus statistics and signal-to-noise ratio, the optimal filter is uniquely determined. The biphasic temporal response and center-surround spatial receptive fields of retinal and LGN neurons emerge naturally as mechanisms for subtracting predictions from incoming signals, compressing redundant information.

The key evidence supporting this framework over simple biophysical explanations like after-hyperpolarization comes from stimulus-dependent filter changes. At high contrast, neurons show sharp biphasic responses with strong negative components; at low contrast, the filter shifts toward broader low-pass characteristics with weakened negative phases. This adaptive behavior matches predictive coding predictions but would require different physiological implementations at each contrast level, suggesting the filter shape is functionally optimized rather than a fixed biophysical artifact.

Chklovskii introduces the lattice filter as a specific circuit implementation where decorrelation occurs in hierarchical stages, each operating at a different timescale. This architecture predicts that LGN temporal receptive fields should be longer than retinal ones, which matches electrophysiological observations. It also predicts two distinct LGN cell types corresponding to forward and backward prediction error pathways, identifiable with the known lagged and non-lagged cell classes. At Janelia Farm, his group has reconstructed the connectome of the fly visual system through the first two neuropils, mapping approximately 10,000 synaptic connections among 50 neurons per processing column. The L1 and L2 large monopolar cells show response properties consistent with the dual pathways of a lattice filter, and inter-column connections provide the substrate for motion detection.

Podcast with Dana Ballard on active vision and saliency maps

Sat, 14 Mar 2026 11:13:25 GMT

What if vision isn't a movie playing in your head but a rapid-fire sequence of information-gathering missions, each lasting a third of a second? Dana Ballard dismantles the saliency map paradigm and reveals how dopamine, uncertainty, and internal agendas govern where your eyes go next.

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Ballard opens with a fact most people find shocking: high-resolution binocular vision covers only about one degree of visual angle, roughly the width of a thumb at arm's length. Every third of a second, the eyes jump to a new fixation point, meaning vision is fundamentally discrete rather than continuous. The dominant saliency map theory proposes that eyes are drawn to visually complex regions, but Ballard champions the agenda-driven alternative: each fixation serves a specific task, extracting a quantum of information that the brain integrates into the experience of seeing. A possible compromise allows agenda-driven saliency, where task demands modulate what counts as interesting in the image.

The interview describes virtual reality experiments where subjects walk down a sidewalk performing three simultaneous tasks: picking up litter, avoiding obstacles, and staying on the path. Eye movement analysis reveals which task the brain is working on at each moment, supporting the idea that complex behavior decomposes into small programs executed in rapid succession. Critically, gaze patterns differ depending on the affordance of an object: eyes fixate on edges when navigating around obstacles but on centers when reaching to pick something up, demonstrating that vision serves action rather than building a passive picture.

Ballard connects this framework to reinforcement learning and dopamine signaling. He proposes that the brain's internal programs are scored by a common neural currency, analogous to the euro, implemented by dopamine. His former student Nathan Sprague showed that pure reward-seeking produces unstable gaze behavior, but the product of reward and uncertainty reduction is stable and outperforms alternatives. The driving force behind eye movements is primarily uncertainty reduction: John Senders' classic experiment, where a clamshell periodically blocked a driver's vision, viscerally demonstrates that it is the uncertainty about your position, not the reward of seeing, that compels you to look.

Podcast with Maria Chiara Carozza on prosthetic hand and neurorobotics

Sat, 14 Mar 2026 11:13:23 GMT

What will it take to build a prosthetic hand that your brain accepts as part of your own body? Maria Chiara Carozza describes the frontier of neurorobotics, where artificial limbs must not only move on command but generate the sensory feedback that creates body ownership.

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Carozza defines human-robot symbiosis as a relationship where robot and user share the same objectives and are interdependent in performing tasks. Her Neuro-Robotics Research Group at Scuola Superiore Sant'Anna in Pisa develops wearable robots that read non-invasive signals, including surface electromyography, limb movements, eye tracking, and physiological indicators, to infer user intentions without surgical implants. The challenge extends beyond reading intent: the robot must also provide sensory feedback through wearable interfaces that stimulate the skin, enabling the user to perceive the environment through the artificial device.

The interview explores the rubber hand illusion as a bridge between neurophysiology and robotics. When visual and tactile signals are correlated, subjects develop body ownership for a rubber hand, experiencing a stab to the fake hand as if it were real. Carozza's team is translating this principle into prosthetic design by embedding vibrotactile stimulators inside the socket interface between stump and artificial hand. By mapping finger contact forces to specific stimulation patterns on the residual limb, they aim to create a learned association that could eventually migrate perceptually to the fingertips, leveraging the brain's remarkable capacity for adaptive remapping.

Carozza also describes exoskeletons for post-stroke rehabilitation, where an external articulated structure acts in parallel with the weakened natural limb. This parallel configuration creates a fundamental control problem: two manipulators must share the same goal and move in harmony, or the system fails and the patient rejects it. Success rates below 90% task completion are unacceptable because the remaining failures create frustration and social embarrassment. The iterative design process, driven by direct feedback from amputees and stroke patients, reveals that cosmetic appearance, lightweight construction, eight-hour battery life, and comfortable skin interfaces are as critical as motor performance.

Podcast with Jon Kaas on brain evolution and neocortex

Sat, 14 Mar 2026 11:02:58 GMT

Why does a duck-billed platypus have electroreception, and what does that tell us about how 250 million years of evolution sculpted the six-layered cortex that makes you human? Jon Kaas traces the entire arc of mammalian brain evolution from stem reptiles to primates.

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Kaas argues that understanding brain evolution is essential for understanding what we are. All mammals share a six-layered neocortex that evolved from a simpler one-layered dorsal cortex in stem reptiles, a structure likely involved in habituation and short-term memory rather than sensory processing. The transition to six layers gave early mammals extraordinary flexibility: the ability to replicate cortical areas, specialize them for different functions, and modify sensory representations by enlarging what matters most, whether whisker maps, nose representations, or echolocation frequencies.

The interview reconstructs the ecological pressures that drove early mammalian brain evolution. Small, nocturnal, and hunted by dinosaurs, the first mammals developed high-frequency hearing through the dissociation of jaw bones into inner ear ossicles, enabling mother-offspring communication at frequencies predators could not detect. Olfaction dominated the forebrain, essential for nocturnal foraging. Sensory hairs, likely the precursors of whiskers, provided tactile information before physical contact, a critical advantage in poor light. Kaas emphasizes that the brain's hyperplasticity, its ability to automatically reorganize when peripheral inputs change, was the key innovation enabling rapid diversification.

The primate chapter of this story centers on the shift to diurnal, arboreal life after the dinosaur extinction 60 million years ago. Visual processing expanded massively, with the temporal and occipital lobes growing to cover the midbrain. Eye-hand coordination became critical for catching insects on moving branches, driving the development of grasping forepaws and eventually freeing the hand from the mouth. Social group living, essential for ground-dwelling primates facing predators, drove frontal lobe expansion. Throughout, Kaas stresses that cortical and subcortical structures co-evolved, with changes in cortex driving modifications in spinal cord circuitry, thalamic inputs, and midbrain organization.

Podcast with Andy Phillipides on insect navigation and ant vision

Sat, 14 Mar 2026 10:40:14 GMT

How does an ant with a brain smaller than a pinhead navigate miles of desert using visual memories that would be unrecognizable to a human eye? Andy Phillipides reveals the elegant simplicity of insect navigation and why it could outperform GPS-dependent robots in denied environments.

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Phillipides explains why studying ants in their natural environment is essential: laboratory stimuli produce fundamentally different neural responses than the real world. Desert ants like Melophorus bagoti are ideal subjects because they are social foragers that learn routes in a single trial, their behavior gives a direct readout of their nervous system, and researchers can track their entire foraging range. Crucially, ants do not use cognitive maps. Their route memories are insulated by context, so an ant placed mid-path while fed will head home, while an empty ant placed at the same spot will head outward.

The interview dissects the complementary navigation strategies ants employ. Path integration, combining step counting with a polarized-light compass, provides a baseline homing vector but accumulates errors over distance. Ants compensate by deliberately aiming to one side of the nest, much like sailors using dead reckoning would aim to one side of a port. From the very first trip, ants layer visual memories on top of path integration, using the skyline silhouette of trees against the sky as a robust, stable landmark. Phillipides describes his group's visual compass model, where ants store panoramic snapshots oriented toward their goal and recover heading by rotating on the spot to minimize image difference, a strategy supported by observed saccadic scanning behavior in unfamiliar environments.

The computational implications are striking. With poor-resolution compound eyes, minimal memory, and limited processing power, ants achieve remarkably robust navigation. Phillipides argues these bioinspired algorithms could serve UAVs, space exploration, and any platform where GPS is unavailable and computational resources are constrained. Taking panoramic images from ant-level positions has already revealed how radically different the visual world appears at ground level, where most of the visual field is sky and ground, and prominent landmarks simply disappear into the background.

Podcast with Huosheng Hu on robotic fish and underwater robotics

Sat, 14 Mar 2026 10:36:13 GMT

Can a robotic fish patrol harbors for pollution while swimming so quietly it never disturbs the marine life it protects? Huosheng Hu describes building fish robots that evolved from aquarium exhibits to autonomous ocean sentinels, alongside brain-controlled wheelchairs for people who cannot move.

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Hu traces his journey from industrial automation to biomimetic underwater robots, sparked when an aquarium needed robotic replicas of fish species that could not legally be displayed. His 60-centimeter robotic fish uses four to five discrete motor segments to replicate the S-wave swimming motion captured from real fish via camera analysis. The design includes a buoyancy system mimicking a fish bladder, a center-of-gravity shifting mechanism for depth changes, and sensors ranging from gyroscopes and accelerometers to obstacle-detecting infrared and flow-measuring antennae. An EU-funded project now deploys these robots to monitor ship oil leaks and pollution in ports up to 30 meters deep, using an underwater ultrasonic positioning system analogous to GPS.

The advantages over conventional submarine-style robots are significant: fish-like propulsion disturbs neither the environment nor pollution plumes, offers greater maneuverability in narrow passages, and theoretically exceeds the 60% efficiency ceiling of propeller-driven vessels. Safety features ensure that if the underwater positioning system fails, the fish surfaces to acquire satellite GPS and navigate home autonomously.

Hu's parallel research on assistive robotics tackles mobility for people with severe disabilities. His brain-computer interface records EEG signals from the motor cortex as users imagine hand or leg movements, training neural networks to translate these patterns into wheelchair commands. Current systems achieve roughly 70% accuracy with healthy subjects after several hours of training, with online learning algorithms adapting to fluctuations in mental state. The wheelchair's own laser scanners and ultrasound sensors provide a safety layer that overrides human commands when obstacles are detected, ensuring safe operation even if the user falls asleep or sends erroneous signals.

Podcast with Yoseph Bar-Cohen on electroactive polymers and artificial muscles

Sat, 14 Mar 2026 10:29:29 GMT

When will robots walk through our doors, cook our meals, and potentially steal our identities? Yoseph Bar-Cohen surveys the frontier of electroactive polymers, biomimetic actuators, and the ethical minefield of human-like machines that could one day be indistinguishable from us.

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Bar-Cohen frames biomimetics as a field that touches everything from clothing inspired by spider silk to drills modeled on gophers. His current work spans bioinspired drilling systems and legged rovers designed to climb steep terrain on other planets, drawing inspiration from mountain goats. He highlights the octopus as a particularly fascinating model organism, noting its ability to squeeze through narrow spaces, camouflage itself, and manipulate objects with soft tentacles. Replicating these capabilities requires materials science breakthroughs that remain years away.

The interview provides a detailed overview of electroactive polymer technology, the closest engineering analog to biological muscle. Bar-Cohen distinguishes two fundamental categories: field-activated (physics-based) polymers that require high voltage but can sustain position without power, and ionic (chemistry-based) polymers that operate at low voltage but suffer from drying and position drift. Current EAP actuators produce forces in the range of 10 kilograms but remain roughly an order of magnitude weaker and slower than biological muscle. His arm-wrestling challenge between human and EAP-driven arms provides an intuitive benchmark for the technology gap.

Bar-Cohen confronts the ethical implications of increasingly human-like robots with striking directness. He envisions scenarios where robotic clones could rob banks with your fingerprints and DNA, where household robots could be hijacked to surveil celebrities, and where military biomimetic birds could cause enemies to kill all real birds. Rather than advocating for bans, he argues that society must develop solutions incrementally, just as it has addressed spam, computer viruses, and automobile safety. The conversation reveals a researcher who sees both the transformative promise and genuine dangers of the coming robot revolution.

Podcast with Mitra Hartmann on active touch and whisker sensing

Sat, 14 Mar 2026 10:24:01 GMT

How does a rat build a three-dimensional picture of the world using nothing but hair? Mitra Hartmann unpacks the biomechanics of whisker sensing, the distinction between active touch and passive sensation, and her vision for a tactile paintbrush that could scan objects in 3D.

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Hartmann begins by carefully distinguishing active touch from active somatosensation, drawing on James Gibson's original framework. Active touch requires purposeful exploration, not merely muscle engagement. A rat brushing its whiskers against objects to assess texture is performing active touch; a person grabbing a hot pan with a cloth is not. This distinction matters because it frames the central question of her research: how does an animal transform mechanical energy into a perception of the world?

The rat whisker system serves as Hartmann's model for studying perception because its neural pathways are analogous to those carrying information from the human hand through the brain. Rats possess roughly 60 whiskers that sweep back and forth at speeds up to 1,000 degrees per second, with all sensory receptors located at the base of each whisker follicle rather than along the hair shaft. Multiple laboratories have demonstrated that rats can discriminate textures with whisker acuity comparable to human fingertips, navigate wall contours, and determine bar orientation. The open question remains why some animals actively whisk while others, like cats and dogs, do not.

As an engineer, Hartmann argues that characterizing the mechanical input is the essential first step before understanding neural processing. Her group investigates whisker material properties, single-whisker mechanics, and natural whisking behavior to determine what signals reach the follicle during real-world exploration. She describes her concept of a whisker paintbrush, a tactile 3D scanner consisting of an array of instrumented bristles that could reconstruct object geometry through mechanical contact. Building such a device could also answer fundamental biological questions about whether independent whisker movement provides information advantages over passive arrays.

Podcast with Maarja Kruusmaa on biomimetic fish and lateral line sensing

Sat, 14 Mar 2026 10:20:16 GMT

How does a dead fish swim upstream, and what does that reveal about the hidden intelligence of body design? Maarja Kruusmaa explores the surprising physics of fish locomotion, lateral line sensing, and why propellers may not be the last word in underwater engineering.

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Kruusmaa challenges naive biomimetics, the tendency to copy everything from nature without understanding which features actually matter. She draws parallels to early propellers with feathers and cars with horse compartments, arguing that the real engineering challenge is identifying which biological principles are worth extracting. While propellers remain a mature and powerful technology, fish outperform them in energy efficiency and acoustic stealth, leaving almost no wake behind them. The key advantage lies in distributed actuation across hundreds of muscle fibers, something current motor technology cannot replicate at practical scales.

The conversation dives deep into fish swimming mechanics. Kruusmaa explains how swimming speed relates linearly to tail-beat frequency, while amplitude remains an independent variable. Fish control their propulsion primarily through stiffness modulation, which shifts resonance frequency and thereby changes amplitude. At cruising speed, fish use remarkably few anterior muscles while the rest of the body remains passive, explaining their extraordinary endurance. The discussion of a dead fish swimming upstream in George Lauder's lab at Harvard illustrates how body morphology alone can generate propulsion in periodic turbulent environments, a striking example of morphological computation.

Kruusmaa introduces the concept of inverse biomimetics, using robotic fish as tools for biological discovery rather than just engineering products. Her work on artificial lateral line sensors demonstrates this approach: by selectively disabling parts of a robot's sensory array, researchers can generate hypotheses about biological function that are difficult or impossible to test in living fish. The lateral line's dual modality, measuring both flow velocity and pressure, enables fish to build complex hydrodynamic maps of their environment, a capability roboticists have barely begun to explore.

Podcast with Kevin O'Regan on consciousness and qualia

Sat, 14 Mar 2026 10:15:32 GMT

What if consciousness isn't generated by the brain at all, but is a way of describing how organisms interact with the world? Kevin O'Regan presents a radical sensorimotor theory that dissolves the hard problem of consciousness using the same conceptual trick that demystified life itself.

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O'Regan argues that searching for neural correlates of consciousness leads to an infinite regress: even if we found the exact neurons responsible for the feel of redness, we could always ask what makes those neurons produce red rather than green. His solution borrows from the history of biology, where vitalism was abandoned once scientists recognized that life is not a substance but a description of how organisms interact with their environment. Similarly, he proposes that feel is not something generated inside the brain but a characterization of the sensorimotor laws governing an organism's engagement with the world.

The interview systematically addresses the three classical mysteries of qualia. Ineffability arises naturally because the low-level sensorimotor details constituting a feel are cognitively inaccessible, much like a whistler cannot describe their tongue position. The structure of feels, why red resembles pink more than green, falls out of the objective, measurable differences in sensorimotor laws governing interactions with colored surfaces. And sensory presence, the reason vision feels different from proprioception, relates to the richness and bodily engagement of the sensorimotor contingencies involved.

O'Regan and interviewer Paul Verschure probe the relationship between this framework and Gibson's affordances, exploring whether qualia might be understood as the subjective dimension of affordance relationships. They examine how the sensorimotor approach partially overcomes interpersonal ineffability by grounding feel in observable behavior, and whether contortionists might experience richer tactile qualia due to finer motor control. The discussion culminates in the provocative claim that a sufficiently complex robot like the Terminator would genuinely feel pain, not because of any special ingredient, but because it would interact with the world in the ways we call feeling.

Podcast with Joseph Ayers on biomimetic robotics and lobster robot

Sat, 14 Mar 2026 09:06:18 GMT

Can algorithmic control ever match the adaptability of a lobster navigating the ocean floor? Neuroscientist and roboticist Joseph Ayers reveals why DARPA abandoned traditional approaches and how chaos-based neural controllers are reshaping biomimetic robotics.

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In this episode, Ayers explains why conventional algorithmic robot control fails in unpredictable environments. Drawing on decades of studying lobster neurophysiology, he describes how animals use chaotic variations in their neural networks to escape situations no programmer could anticipate. The fundamental problem: you cannot pre-program escape strategies for every possible scenario an autonomous robot might encounter in the real world.

Ayers walks through four generations of robotic lobsters built since 1998, each informed by biological discoveries. The latest generation replaces state machines with true central pattern generators built from discrete-time map-based neurons developed by Nikolai Rukov. These phenomenological neuron models capture spiking, bursting, and chaotic dynamics using just two control parameters, enabling hundreds of neurons and synapses to run on a single DSP chip in real time. The coordination between six walking legs emerges from governing and governed oscillators maintaining proper phase relationships.

The conversation explores how building robots reveals gaps in biological knowledge. Ayers describes discovering that lobsters likely rely on simple bump sensing rather than sophisticated joint proprioception, and how accelerometry-based comparisons between expected and actual movement patterns can detect when the robot is stuck. He details the sensory architecture of the lobster brain, from Wiersma's classification of visual interneurons to the layered reflex systems that process optical flow, hydrodynamic flow, and obstacle contact. The discussion reveals how the robot-biology feedback loop generates new hypotheses about corollary discharge and motor control that can be tested in living animals.

Podcast with Hillel Chiel on biomechanics and neural control

Sat, 14 Mar 2026 09:00:31 GMT

Why does understanding the body matter as much as understanding the brain , and how do soft, squishy biomechanics simplify the control problems that nervous systems must solve? Hillel Chiel extracts general principles from tongues, worms, and sea slugs. Subscribe for more from the Convergent Science Network podcast series. Hillel Chiel's research program rests on a foundational claim: evolution selects not for brains or bodies in isolation, but for the coupled dynamical system of brain, body, and environment. This means that understanding neural control without understanding biomechanics is like studying software without knowing the hardware it runs on. His work systematically demonstrates how mechanical properties of soft tissues constrain and simplify the control problems that nervous systems face , often dramatically. The tongue provides a vivid entry point. Modeled as a muscular hydrostat (a "hot dog in a bun" of longitudinal and circumferential muscles), the tongue's geometry creates a massive mechanical advantage for the longitudinal muscle when the tongue is extended. A simple pulse of neural activation produces rapid shortening that the circumferential muscle cannot resist until the tongue is already retracted. The control implication is striking: for a single lapping motion, the nervous system can effectively ignore one of the two muscle groups. This simplification is invisible without biomechanical analysis and would never be predicted from neural recordings alone. Chiel then scales up to peristaltic locomotion, challenging the standard view that it is slow and energetically wasteful. His mathematical analysis of continuous (rather than segmental) peristaltic waves shows that, properly configured, the center of mass can maintain constant velocity without depending on external friction , meaning the energy costs come from internal tissue properties rather than ground contact losses. A one-meter robot built on this principle moves fast enough that you have to walk briskly to keep up. The Aplysia feeding system illustrates the principle that what a muscle does depends on its mechanical context. As the geometry of the feeding apparatus changes during a bite, swallow, or rejection, the same muscle can switch from protraction to retraction. This means that multifunctional behavior arises not from dedicated muscles for each action but from changing coalitions of muscles recruited according to the current biomechanical state. Chiel frames this as a general principle: the nervous system exploits context-dependent mechanics to achieve behavioral flexibility with minimal rewiring, ganging degrees of freedom together for simple movements and fractionating them when precision is needed.

Podcast with Frank Grasso on biomimetic robotics and lobster olfaction

Sat, 14 Mar 2026 08:56:15 GMT

How does a lobster find food in a turbulent ocean where chemical signals vanish for minutes at a time , and what can a robot lobster teach us about the strategies that work and fail? Frank Grasso explores the neuroscience of olfactory search through biomimetic robotics. Subscribe for more from the Convergent Science Network podcast series. Frank Grasso studies "crunchies and squishies", lobsters and octopuses, not because they resemble us, but precisely because they do not. These animals face the same physical challenges as vertebrates but solve them with completely different brain and body architectures, revealing the true design space for adaptive behavior. His laboratory at Brooklyn College builds robot models of these animals, tests them under identical conditions to the real organisms, and uses the animal's performance as a yardstick for evaluating hypotheses about neural control. The lobster work centers on olfactory search in turbulent water. Seventy percent of the lobster brain is dedicated to olfactory processing, and its chemical sensors are extraordinarily sensitive , capable of detecting concentrations equivalent to a teaspoon of rose water dissolved in Lake Champlain. But the real challenge is not sensitivity; it is intermittency. Even directly within a chemical plume, sensors may detect nothing for minutes at a time, punctuated by staccato bursts of odor pulses. Grasso's team measured these environments directly and found that the temporal structure of the signal, its rhythm and patterning, carries spatial information that pure concentration measurements cannot provide. When robot lobsters equipped with biologically matched sensors were tested using algorithms that biologists had proposed for a century, the robots failed dramatically. Simple chemotaxis strategies that work in smooth gradients collapse in turbulent plumes. Adding flow-sensing information improved performance, but only in specific regions of the plume. The robots revealed that different distances from the source present qualitatively different information landscapes, requiring different strategies , a finding that would have been difficult to establish from animal observation alone. The octopus work addresses a different frontier: controlling a body with no hard parts. Octopus arms are muscular hydrostats , enclosed bags of water that reshape themselves through muscle-against-muscle contraction, with no skeleton at all. Three-fifths of the octopus's half-billion neurons reside outside the central brain, distributed in a brachial plexus that may allow arms to negotiate with each other rather than requiring centralized executive control. Combined with the animal's exceptional learning abilities , possibly an adaptation to both a complex body and exponential growth from milligrams to 90 kilograms in a single year , the octopus represents a radically different solution to the problem of embodied intelligence.

Podcast with Federico Carpi on electroactive polymers and dielectric elastomers

Sat, 14 Mar 2026 08:52:16 GMT

What if the next generation of robot muscles were made of rubber, driven by static electricity, and could sense their own deformation? Federico Carpi introduces dielectric elastomer actuators , soft, lightweight, and already shipping in consumer electronics. Subscribe for more from the Convergent Science Network podcast series. Federico Carpi makes the case that conventional electric motors are fundamentally mismatched to the needs of robots that must interact closely with humans. They are rigid, noisy, energy-hungry, and made of materials nothing like biological tissue. His alternative: electroactive polymers, specifically dielectric elastomers , essentially sheets of insulating rubber sandwiched between compliant electrodes. When voltage is applied, electrostatic forces squeeze the rubber, causing it to expand laterally. The principle is pure Maxwell stress, not piezoelectricity, and the resulting actuators are soft, silent, lightweight, and remarkably versatile. What makes these materials particularly compelling is their intrinsic dual function as both actuator and sensor. Because the device is fundamentally a deformable capacitor, reading its capacitance during operation provides continuous information about its deformation state , no separate sensor required. This mirrors biological muscle, where actuation and proprioception are integrated in the same tissue. Carpi's group has demonstrated stacked actuators for larger displacements, membrane actuators, bubble actuators, and linear actuators, all from the same basic material platform. The technology has already reached the consumer market. A major mobile phone manufacturer has replaced conventional vibration motors with dielectric elastomer films , thinner, lighter, and more power-efficient because capacitive loads draw minimal current despite requiring kilovolt-range voltages. Carpi addresses the voltage concern directly: while one kilovolt sounds alarming, the currents involved are tiny and the energy stored is comparable to the static shock from a car door. Compact voltage multipliers a few cubic millimeters in size handle the conversion from battery voltage. Four application areas stand out. Variable-stiffness rehabilitation devices can provide customized resistance for post-stroke hand therapy. Energy harvesting systems can convert ocean wave motion into electricity at potentially lower cost than any competing technology. Haptic displays , including a Braille reader that could enable full-page tactile output for blind users , exploit the material's ability to create programmable surface textures. And biomimetic tunable lenses, inspired by the human eye's ciliary muscle, can change focal length by deforming fluid-filled membranes, with prosthetic eye applications on the horizon.

Podcast with Kathy Rockland on neocortex and cortical anatomy

Sat, 14 Mar 2026 08:48:13 GMT

Is the neocortex really uniform , and do feedforward and feedback connections mean what we think they mean? Kathy Rockland challenges foundational assumptions about cortical organization with evidence that structure and function are more discrepant than textbooks suggest. Subscribe for more from the Convergent Science Network podcast series. Kathy Rockland is a neuroanatomist who has spent her career examining cortical connectivity at a level of detail that most theorists and imagers never encounter. In this interview, she delivers a series of provocative challenges to standard assumptions about how the neocortex is organized. Her first point is counterintuitive: the most striking property of cortical axons is not their specificity but their divergence. When you trace individual axons and examine their collateralization, the word that comes to mind is distributed , connections fan out broadly before any question of specificity arises. Rockland then dismantles the textbook story of ocular dominance columns. The functional columns are unambiguously about 500 microns in diameter, but the anatomical inputs that supposedly create them, thalamocortical axons from the LGN, come in at wildly different scales: parvocellular arbors at 250 microns, magnocellular clusters larger with multiple foci, layer 4A inputs at 100 microns, and layer 1 projections that are highly divergent. Some operation within intrinsic cortical circuitry must be converging these mismatched inputs into the 500-micron functional unit. This means that thalamocortical connections are not the basis of ocular dominance columns in any simple sense , the cortex itself is doing something essential to create the functional organization we observe. The conversation turns to feedforward and feedback pathways, which Rockland argues carry misleading temporal assumptions. She proposes reframing these as layer-4-biased connections and layer-1-biased connections, respectively , a description that captures the anatomical reality without implying a sequential relay. In rodents, the laminar scheme breaks down substantially, and even in primates there are abundant exceptions. Rockland also notes that the supposed unimodality of primary sensory areas is threshold-dependent: lower your detection threshold and cross-modal inputs appear even in monkey V1 and V2. Her overarching message is that structure-function correlation, long treated as a guiding principle, is more often the exception than the rule. The brain works, but not in the way our simplified models suggest.

Podcast with John Doyle on network architecture and control theory

Sat, 14 Mar 2026 08:38:38 GMT

Why do bacteria have more elegant network architecture than the internet , and what can both teach us about building robust, evolvable systems? John Doyle unpacks the universal design principle of layered constraints that biology and technology share. Subscribe for more from the Convergent Science Network podcast series. John Doyle is a control theorist and mathematician who found himself drawn to biology by a simple observation: the bacterial biosphere has one of the most robust and evolvable architectures on Earth. It evolved into us, yet continues to adapt with remarkable speed on every timescale , rearranging protein networks in seconds, swapping genes across species over generations. Doyle argues that this dual capacity for rapid robustness and rapid evolvability stems from a shared architectural principle: layered constraints that deconstrain. The concept, borrowed from biologists Gerhardt and Kirschner, holds that a few wisely chosen constraints , like ATP as a universal energy carrier or TCP/IP as a packet protocol , create platforms that enable enormous flexibility above them. In bacteria, core metabolic protocols have persisted for billions of years, yet they enable wildly dynamic responses to environmental challenges. In technology, operating systems sit between hardware and applications, enabling the plug-and-play modularity we take for granted. Doyle argues that layering is the highest-level expression of modularity, and that much of the scientific literature on modularity misses this point by focusing on component-level decomposition rather than the architectural constraints that make modularity possible. The interview draws a sobering contrast between biological and engineered systems. While bacterial biochemistry appears spectacularly well-designed from an engineering perspective, refined over billions of years of selection, human-built large-scale systems are profoundly unsustainable. Doyle is blunt: our energy, transportation, water, and food networks have recognizable design flaws, and the interplay between technology, markets, and policy is the least understood system of all. He uses a clothing metaphor to make architecture accessible: garments have both an inner-to-outer layering (skin layer, insulation, weather protection) and a compositional layering (fiber to yarn to cloth to garment), illustrating how different dimensions of constraint combine synergistically. Doyle also highlights a critical lesson from both biology and the internet: if you make a mistake in a core protocol and build extensively on top of it, correction becomes nearly impossible. The internet's early design choices, made by operating systems engineers who won a historical battle against information theorists, are now deeply embedded , brilliant in some respects, flawed in others, and extraordinarily difficult to change.

Podcast with Bill Hansson on insect olfaction and antennal lobe

Sat, 14 Mar 2026 08:33:29 GMT

How do flowers deceive insects into pollinating them , and what does this reveal about how olfactory systems encode meaning? Bill Hansson explores the evolutionary arms race between plants and pollinators through the lens of insect chemosensory neuroscience. Subscribe for more from the Convergent Science Network podcast series. Bill Hansson studies olfaction in insects, and his entry point is one of nature's most elaborate deceptions. One-third of all orchid species are deceptive , they attract pollinators without offering nectar rewards, instead mimicking the chemical signatures of food, mates, or egg-laying sites with extraordinary precision. Hansson describes flowers that replicate the individual odor variation of female bees so accurately that males never learn to avoid them, and Mediterranean lilies that mimic both the volatile chemistry and the elevated temperature of rotting flesh to lure egg-laying flies into their chambers. These deceptive systems serve as powerful experimental tools. Because evolutionary pressure demands that the mimicry be nearly perfect, deceptive flowers effectively reveal which chemical features matter most to the insect brain. Hansson's laboratory uses this insight in reverse: by identifying the behaviorally relevant compounds through the deception, they can probe the olfactory system with precisely the stimuli it evolved to detect. The approach has been transformed by advances in single-neuron electrophysiology and optical imaging of the antennal lobe , the insect brain's first olfactory processing center. A surprising finding emerges from comparing input and output patterns in the Drosophila antennal lobe. At the receptor neuron level, there is no clear clustering of activation patterns by behavioral valence , attractive and repulsive odors look similar. But at the projection neuron output, attractive and repulsive patterns separate cleanly. This suggests the antennal lobe performs a valence-sorting operation, not just odor discrimination, before information even reaches the mushroom bodies traditionally associated with learning and memory. Hansson speculates that this early valence coding may serve the direct pathway to the lateral horn, which bypasses the mushroom bodies entirely and may mediate reflexive behavioral responses. The interview also examines a remarkable case of evolutionary specialization in Drosophila sechellia, a species that feeds exclusively on a single toxic fruit. This fly has sacrificed several receptor types used by its generalist relatives and massively expanded both the peripheral neurons and the central brain regions dedicated to detecting its host fruit , achieving detection thresholds rivaling moth pheromone systems at picogram concentrations.

Podcast with Michael Arbib on mirror neurons and schema theory

Sun, 08 Mar 2026 16:08:03 GMT

How did a brain system for grasping objects become the foundation for human language? Michael Arbib traces the evolutionary path from mirror neurons to speech, arguing that schema theory provides the missing link between neural circuits and cognitive architecture. Subscribe for more from the Convergent Science Network podcast series. Michael Arbib has spent decades developing schema theory , a framework for decomposing complex behaviors into interacting functional units that can be mapped onto neural circuits. In this interview, he explains how this approach bridges the gap between high-level cognitive descriptions and low-level neural implementations, using two case studies: the visual control of hand movements and the evolution of language. The story begins with the premotor cortex, where Arbib's collaborator Giacomo Rizzolatti discovered mirror neurons , cells active both when a monkey performs a hand action and when it observes the same action performed by another. Brain imaging revealed that the human homologue of this mirror region overlaps with Broca's area, traditionally considered a speech center. This anatomical coincidence opened a research program connecting manual action to linguistic communication. Arbib outlines eleven evolutionary steps from our common ancestor with monkeys to the language-ready human brain, each representing what he calls a "small miracle" , a plausible transition requiring only modest genetic changes. The key transitions include: extending action recognition to imitation of novel actions, developing pantomime from practical object manipulation, conventionalizing gestures through social interaction, and finally recruiting the vocal apparatus for proto-speech. Arbib emphasizes that language likely did not evolve as a single package but was gradually discovered by human cultures exploiting brain capacities that evolved for other purposes. Sign language demonstrates that the linguistic capacity is not inherently vocal , it is a general-purpose system for structured communication. Schema theory serves as the computational backbone of this framework. Arbib positions schemas as intermediate-level descriptions, analogous to high-level programming languages, that capture the functional decomposition of behavior without committing to specific neural implementations. But unlike purely abstract computational theories, schemas are meant to be iteratively refined against neurophysiological data, creating a loop between cognitive-level hypotheses and circuit-level constraints. Arbib insists on causal completeness: a model must account for the full chain from sensory input through internal processing to behavioral output, not just correlate with isolated neural recordings.

Podcast with Terence Deacon on evo-devo and brain development

Sun, 08 Mar 2026 16:03:57 GMT

How does evolution build brains without a blueprint? Terence Deacon reveals how self-organizing developmental processes, constrained by diffusible molecular signals, generate the neural architecture that natural selection then sculpts through competition and functional use. Subscribe for more from the Convergent Science Network podcast series. Terence Deacon brings the evo-devo perspective to brain science, arguing that understanding how brains are built during development is essential to understanding how they evolved. The core insight is that evolution does not modify adult brains directly , it modifies developmental programs. Since development relies heavily on self-organizing processes at every level, from gene regulatory networks to cell migration to axon guidance, the space of possible evolutionary changes is profoundly constrained by what development can produce. Deacon describes a two-phase process in brain construction. Early development is remarkably conserved across vertebrates: a neural tube divides into segments, segments differentiate into compartments, and generic form-production mechanisms generate a variety of circuits. This phase is so similar across species that embryonic brains of fish, birds, and mammals are nearly indistinguishable. The second phase involves selection: signals from sense organs, muscular systems, and inter-regional competition sculpt the generic architecture into species-specific functional circuits. Connections that are functionally validated persist; others are eliminated. The interview draws on Deacon's cross-species transplantation experiments, which produced striking results. Cortical cells transplanted anywhere in the brain grow axons only to targets appropriate for cortex , even in adult brains, even across species as different as pigs and rats. This means that molecular guidance cues persist throughout life, long after the developmental period when they were originally needed. Deacon suggests these cues serve ongoing plasticity and local synaptic maintenance rather than being mere developmental leftovers. He also describes clinical applications: pig fetal dopamine cells transplanted into Parkinsonian rats and eventually human patients found their targets, formed functional cross-species synapses, and produced measurable clinical improvement. Deacon challenges the common assumption that genes directly specify brain architecture. Instead, he describes cascading self-organization: genes regulate each other in network patterns, producing diffusible signals that create concentration gradients, which in turn activate or silence genes in neighboring cells. Even finger formation relies on this interplay , cells between digits are instructed to die by the intersection of multiple diffusion fields, not by a gene that says "build a finger here."

Podcast with Allard Roubroeks on neuroimaging and fmri analysis

Sun, 08 Mar 2026 15:59:49 GMT

How do we move beyond "this brain region lights up" to genuinely understanding how neural circuits compute? Allard Roebroek argues that the future lies in merging bottom-up computational models with top-down neuroimaging analysis , and that neither community can succeed alone. Subscribe for more from the Convergent Science Network podcast series. Allard Roebroek tackles a fundamental tension in neuroimaging: the field generates gigabytes of whole-brain data per minute, yet most analyses reduce this richness to statements about which regions activate during which tasks. He distinguishes two modeling traditions that have developed largely in isolation. Bottom-up modelers build biophysically inspired simulations of neural circuits, from spiking networks to hemodynamic coupling, but face a crippling indeterminacy problem: infinitely many models can reproduce the same behavioral data. Top-down modelers invert observation models to go from fMRI or EEG signals back to inferred neural activity, but typically work with only a handful of pre-selected brain regions and stop at causal connectivity without asking what computations those regions perform. Roebroek's vision is to unite these approaches. He advocates for models that simultaneously perform the task (as bottom-up models do), are biophysically grounded, and are accountable to whole-brain neuroimaging data (as top-down models aspire to be). This triple requirement has not yet been achieved, but he argues it is the only path toward models that are both computationally meaningful and empirically constrained. The whole-brain coverage of fMRI provides a unique advantage over electrophysiology , not in spatial or temporal resolution, but in the ability to observe the entire system at once without invasive intervention. The interview engages seriously with criticisms of this program. Can correlation-based neuroimaging data really constrain causal models? Roebroek acknowledges that causality requires assumptions beyond correlation, but argues that computational models themselves provide exactly those assumptions , transforming observed dependencies into mechanistic explanations. He also confronts the common practice of restricting analyses to regions of interest, which discards the very whole-brain information that makes neuroimaging valuable, and calls for models that encompass at least all cortical regions plausibly involved in a given task.

Podcast with Adrian Owen on disorders of consciousness and vegetative state

Sun, 08 Mar 2026 15:51:07 GMT

What if patients diagnosed as vegetative are actually conscious but trapped , unable to signal their awareness through any behavioral channel? Adrian Owen describes how fMRI and EEG are revealing hidden minds and opening new paths to communication. Subscribe for more from the Convergent Science Network podcast series. Adrian Owen's research confronts one of the most unsettling problems in clinical neuroscience: the possibility that a significant minority of patients diagnosed as vegetative are in fact aware, experiencing the world much as we do, but completely unable to demonstrate it. Using fMRI, Owen and his team have identified patients who can reliably modulate their brain activity on command , imagining playing tennis to activate premotor cortex, or imagining navigating their home to activate parahippocampal regions , despite showing no behavioral signs of consciousness whatsoever. The breakthrough came with the realization that active imagery tasks, unlike passive sensory stimulation, cannot be performed automatically. When a healthy volunteer is told to imagine playing tennis and deliberately chooses not to, no premotor activation appears. This volitional quality is what distinguishes Owen's paradigm from earlier fMRI studies that showed brain responses in vegetative patients but could not rule out reflexive processing. The tennis task proved remarkably robust , it works in every healthy subject tested, likely because any version of tennis involves vigorous arm movements that reliably engage premotor cortex, regardless of individual differences in how people imagine the game. Owen has since used this approach to establish yes-or-no communication with a patient previously assumed to be in a vegetative state. By assigning tennis imagery to "yes" and spatial navigation imagery to "no," the patient answered autobiographical questions correctly, confirming not only awareness but access to long-term memory and language comprehension. The team is now working to transfer this technology from expensive, immobile fMRI scanners to portable EEG systems , a transition complicated by the fact that many of these patients have damaged or surgically altered skulls that disrupt standard EEG source localization. The conversation also probes deeper questions about the taxonomy of consciousness disorders. Owen suggests that the distinction between vegetative and minimally conscious states may be less about depth of consciousness and more about temporal intermittency , patients may cycle in and out of awareness rather than occupying a fixed intermediate state. He argues that the practical goal of building communication channels for non-responsive patients should take priority over philosophical debates about the nature of consciousness itself.

Podcast with Xiao Jing Wang on working memory and prefrontal cortex

Sun, 08 Mar 2026 15:45:44 GMT

Why is the ability to hold something in mind, even briefly, the gateway to flexible cognition? Xiao-Jing Wang explains how attractor dynamics and slow synaptic reverberation in prefrontal cortex give rise to both working memory and decision-making. Subscribe for more from the Convergent Science Network podcast series. Xiao-Jing Wang begins with a deceptively simple argument: without the capacity to maintain information in the absence of direct sensory input, an organism is enslaved to its environment, reduced to reflexive responses. Working memory , sustained neural activity that bridges the gap between stimulus and action , is therefore the foundation of cognitive flexibility. Drawing on decades of lesion studies, single-neuron recordings, and computational modeling, Wang makes the case that prefrontal cortex is uniquely equipped for this role, thanks to its dense recurrent excitatory connections and distinctive neuromodulatory environment. The interview dives deep into the mechanics of attractor networks, which Wang uses as the theoretical framework for understanding prefrontal dynamics. He is careful to demystify the concept: attractor states are simply relatively stable states, not rigid black holes. What makes prefrontal cortex special is not persistence per se, even oculomotor circuits show persistent activity, but the capacity to maintain multiple stable states simultaneously and switch between them with brief inputs. This multiplicity is what a working memory system requires, and it emerges naturally from the nonlinear dynamics of strongly recurrent circuits. A key surprise from Wang's modeling work is that the reverberation sustaining working memory must be slow, mediated primarily by NMDA receptors rather than fast AMPA transmission. This was not a design choice but a computational necessity: fast positive feedback makes the network explosively unstable, while slow reverberation provides both stable memory states and the gradual ramping activity observed during decision-making. The same circuit architecture that holds items in working memory also integrates evidence over time, producing the reaction-time signatures seen in prefrontal recordings during perceptual decision tasks. Wang also addresses the frontier challenges: extending local circuit models to large-scale brain systems, understanding how mixed selectivity in prefrontal neurons supports combinatorial coding of sensory, rule, and motor information, and reconciling the role of neural oscillations and correlations with the stochastic firing of individual neurons. His vision is one of building blocks , elementary computational mechanisms that can be composed into increasingly realistic models of cognition.

Podcast with Viktor Lamme on consciousness and recurrent processing

Sun, 08 Mar 2026 15:39:12 GMT

Can neuroscience tell us what consciousness really is , even when introspection and behavior fall short? Viktor Lamme argues that recurrent neural processing, not global workspace activation, is the fundamental ingredient of conscious experience. Subscribe for more from the Convergent Science Network podcast series. Viktor Lamme opens with a challenge to the dominant paradigm in consciousness research: if we cannot reliably know what we are conscious of at any given moment, then searching for neural correlates of consciousness is fundamentally misguided. Instead, he proposes building a definition of consciousness from neuroscientific evidence itself , using neural arguments rather than behavioral reports to determine when and where conscious experience occurs. At the core of his theory are four stages of cortical processing. Stages one and two involve feedforward activation, shallow or deep, that can reach prefrontal cortex and trigger cognitive functions like attention and inhibitory control, yet remain entirely unconscious. Stages three and four involve recurrent or reentrant processing, where higher areas feed back into lower areas. Lamme's central claim is that recurrent processing is both necessary and sufficient for consciousness. Even localized recurrence between early visual areas produces a conscious percept, albeit a primitive one, while widespread recurrence incorporating frontoparietal networks adds reportability and cognitive access without adding consciousness itself. This directly challenges global workspace theory, which holds that prefrontal-parietal broadcasting is essential for conscious experience. Lamme argues that this conflates consciousness with attention, cognitive control, and reportability. He points to evidence that prefrontal activation can occur without consciousness and that consciousness can occur without prefrontal involvement. The distinction matters clinically and scientifically: if consciousness requires only local recurrence, then patients and experimental subjects may have rich conscious experiences that they simply cannot report. The interview takes a molecular turn when Lamme describes experiments showing that recurrent signals in monkey visual cortex depend on NMDA receptors, while feedforward signals rely on AMPA receptors. This dissociation suggests that conscious processing may be uniquely linked to synaptic plasticity , raising the provocative prediction that there is no such thing as truly unconscious learning. Every instance of learning in the literature that Lamme has examined involves conditions where local recurrent processing could plausibly be occurring, even if global reportability is absent.

Podcast with Sam Wang on cerebellum and climbing fibers

Sun, 08 Mar 2026 15:35:10 GMT

What if the cerebellum works less like a learning machine and more like an interrupt handler , resetting circuits and gating sensory information depending on what the animal is doing? Sam Wang shares how advanced optical imaging is rewriting our understanding of cerebellar function. Subscribe for more from the Convergent Science Network podcast series. Sam Wang came to neuroscience from physics, drawn to the cerebellum by its deceptively simple architecture: a small number of cell types arranged in a circuit that seemed ripe for theoretical analysis. In this interview, he describes how his laboratory's optical imaging methods have revealed surprising dynamics in the climbing fiber system , the slow, one-hertz input pathway from the inferior olive that has long puzzled researchers. Wang reframes these climbing fiber signals as interrupt signals that can simultaneously reset ongoing cerebellar processing in real time and drive long-term synaptic plasticity. The key insight comes from synchrony. Individual climbing fibers fire so rarely that extracting meaning from their timing alone is a hard coding problem. But when populations of olivary neurons fire together, coupled by gap junctions, they produce what Wang calls "chords" across many Purkinje cells simultaneously. These synchronous events can be detected by the deep cerebellar nuclei as special signals, distinct from the background wash of simple spikes. Wang uses a musical metaphor: asynchronous firing is like random piano keys, while synchrony is like a chord that stands out against the noise. Perhaps the most striking finding is a gating phenomenon observed in awake, behaving mice. When a mouse is resting, climbing fiber populations respond robustly to external stimuli like air puffs or sounds. But when the animal begins walking, the same population switches to self-generated synchronous events and becomes insensitive to external input. This suggests a context-dependent gating mechanism, analogous to "don't talk to me, I'm tying my shoes", where the cerebellum dynamically routes either external or internal signals depending on behavioral state. Wang is candid about the limits of current cerebellar theory. While frameworks from control engineering, forward models, inverse models, adaptive filters, provide useful conceptual scaffolding, he suspects many will prove wrong when tested against well-designed experiments. His laboratory is pushing toward better temporal resolution in imaging, genetically targeted indicators, and optogenetic perturbation to move from observation to causal manipulation of these circuits.

Podcast with Riccardo Sanz on machine consciousness and control engineering

Sun, 08 Mar 2026 15:26:10 GMT

What happens when engineered systems become too complex for humans to understand, let alone control? Riccardo Sanz argues that the path forward requires machines capable of controlling themselves , and that this leads, perhaps inevitably, toward machine self-awareness. Subscribe for more from the Convergent Science Network podcast series. Riccardo Sanz approaches consciousness not from philosophy or neuroscience, but from the hard edge of control engineering. In this interview, he explains why traditional control theory breaks down when the controller itself becomes so complex that it can fail in ways no human operator can diagnose. Modern countrywide electrical grids, flight control systems, and computing infrastructures already exceed human comprehension during failure states , leading to blackouts, crashes, and cascading breakdowns. Sanz's provocative claim is that the only scalable solution is to give these systems the capacity to model and manage themselves. This is not, he insists, an attempt to mimic human consciousness. Instead, his research group arrived at concepts of self-awareness and self-modeling from purely technical requirements for robust, adaptive control. The convergence with consciousness research was discovered after the fact, when they found that the competences they needed, self-monitoring, self-repair, cognitive flexibility, overlapped with properties that consciousness researchers attribute to sentient systems. The distinction matters: Sanz argues that copying the human brain would reproduce its evolutionary limitations, whereas extracting the underlying principles of self-awareness could yield systems that far exceed human capabilities in speed and information integration. The conversation probes the risk of infinite regress , if a controller needs a meta-controller, what controls that? Sanz proposes that each successive layer of self-representation compresses complexity, collapsing into increasingly compact models until the system converges on a unified self-description. He draws parallels to industrial process control, where hierarchies of control loops ultimately reduce to a single variable like profitability, but notes that current systems lack the self-awareness to handle their own failures. On the question of existential risk from superintelligent machines, Sanz is sanguine. He believes that by the time engineering reaches the sophistication needed to create deeply self-aware systems, the technology for bounding their behavior will be equally mature. His core message is a call for rigor: the fragmentation of control engineering, neuroscience, and philosophy into separate communities with incompatible vocabularies is the real barrier to progress.

Podcast with Partha Mitra on brain connectome and neuroanatomy

Sun, 08 Mar 2026 15:18:57 GMT

How do you map the wiring of an entire brain when neuroscience is simultaneously drowning in data and starving for the right kind? Partha Mitra explains why he left theoretical physics to build a whole-brain mesoscale connectome , and what it reveals about the gap between data richness and genuine understanding. Subscribe for more from the Convergent Science Network podcast series. In this episode, Partha Mitra describes the paradox at the heart of modern neuroscience: half a million abstracts published on PubMed each year, yet no comprehensive wiring diagram for any mammalian brain beyond C. elegans. Trained as a theoretical physicist, Mitra recounts how his growing humility toward the complexity of the brain drove him from abstract modeling to the lab bench, where he now leads an industrial-scale neuroanatomy project at Cold Spring Harbor Laboratory. His goal is to systematically map the mesoscale connectivity of the mouse brain , the level at which developmental programs lay down the architecture that sits between single synapses and whole-brain function. Mitra draws a compelling analogy to Google Earth: just as geographic data remained fragmented until a unifying spatial framework existed, neuroscience data lacks a scaffold on which to hang its heterogeneous findings. His project aims to provide that scaffold by injecting tracers across the entire mouse brain and building probabilistic maps of where axons from any given region project. He argues that this mesoscale is uniquely important because it is genomically patterned , shaped by developmental genes rather than purely by experience , making it the natural bridge between molecular biology and systems neuroscience. The conversation also tackles deep methodological questions. How much individual variability exists between brains of the same species, and can meaningful regularities still be extracted? Mitra hypothesizes that brains occupy a low-dimensional manifold of variation , constrained enough to reveal common design templates, yet variable enough to be scientifically interesting. He envisions comparative studies across species that could uncover conserved architectural principles shaped by convergent evolution, not just shared ancestry. Perhaps most striking is Mitra's philosophical evolution. He advocates what he calls "ontological monism and epistemological pluralism" , one physical reality, but multiple legitimate theoretical frameworks for understanding it. He cautions against the assumption that all theories must reduce to one another, and urges neuroscientists to take engineering perspectives more seriously as a source of insight into how evolved systems solve functional problems.

Podcast with Olaf Sporns on connectome and brain connectivity

Sat, 07 Mar 2026 12:36:03 GMT

What if we've been studying brain activity for decades without actually knowing how the brain is wired? Neuroscientist Olaf Sporns introduced the concept of the connectome, a complete structural map of the human brain's network, and explains why understanding connectivity is the missing foundation beneath all of functional neuroscience. Subscribe for more from the Convergent Science Network podcast series. Olaf Sporns, one of the pioneers behind the human connectome concept, joins Paul Verschure at the BCBT summer school to explain why neuroscience needs a comprehensive wiring diagram of the brain. The connectome describes the full set of structural connections between brain regions or individual neurons , the network architecture that generates all the dynamic activity researchers have been measuring for years. The conversation addresses a fundamental gap in neuroscience: everyone records brain activity, but without knowing the underlying connectivity, we cannot explain where that activity comes from or how it is generated. Sporns traces the idea back to Ramon y Cajal while emphasizing that modern diffusion imaging now allows us to infer connectivity in living humans non-invasively for the first time. The discussion explores the relationship between structural connectivity and functional dynamics. Sporns argues that the connectome is not just an anatomical catalog but a framework for understanding how network architecture shapes cognition, behavior, and brain disorders. The challenge is scale , mapping individual neurons remains impossible in humans, but region-level connectivity is now within reach. Key topics include the methodological limitations of current imaging techniques, the difference between structural and functional connectivity, how network science tools from physics and mathematics apply to brain organization, and why the connectome project represents a shift from studying isolated brain regions to understanding the brain as an integrated network. Part of the Convergent Science Network podcast series from the BCBT Summer School.