Brain Inspired

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  • BI 246 Andrea Gambarotto: Cognition Requires Agency

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    The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

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    Andrea Gambarotto is a postdoctoral philosopher and researcher at the University of Luxembourg. He is an expert in the philosophy of Georg Wilhelm Friedrich Hegel, most commonly known as Hegel. More recently he has been studying the relation between some of Hegel's ideas and those of modern theoretical biology regarding questions of autonomy and agency. Andrea argues that, where Immanuel Kant  believed we should explain biological stuff and inanimate stuff the same way- via mechanistic explanations, Hegel believed to explain the biological stuff, we should leverage the fact the biological organisms have intrinsic purpose… agency. And, Hegel's approach is in line with what's called the enactive approach in cognitive science, which has a long history and continues to thrive. Andrea explains all of that during our discussion. One reason I invited Andrea on is because these issues get the heart of what some of us care about, which is, what are the differences and similarities between our natural intelligence and engineered artificial intelligence? Why should we care about those differences? A large language model isn't alive, but does it have a mind? Should we call what it does cognition? What are the relations between life, mind, cognition, intelligence, consciousness? Those kinds of questions. We even discuss why the famed octopus might be really intelligent but not conscious.

    • Andrea Gambarotto
    • Gambarotto papers
      • Enactivism and the Hegelian stance on intrinsic purposiveness
      • Body plan organization and the evolution of conscious agency
      • Blog: Dialectical Systems
      • Papers also mentioned
        • Weber & Varela 2002: Life after Kant: Natural purposes and the autopoietic foundations of biological individuality.
        • Mossio & Bich 2014: What makes biological organisation teleological?
        • Bechtel & Bich & 2021: Grounding cognition: heterarchical control mechanisms in biology.
        • Pessoa 2026: Beyond networks: Toward adaptive models of biological complexity.
        • Levins 1998: Dialectics and Systems Theory.
        • Barandiaran & Moreno 2006: On What Makes Certain Dynamical Systems Cognitive: A Minimally Cognitive Organization Program.
        • Books mentioned
          • Linguistic Bodies: The Continuity between Life and Language
          • Radical Embodied Cognitive Science
          • An Evolutionary Story of Agency
          • 0:00 - Intro

            7:51 - Intrinsic and extrinsic purposiveness
            14:39 - Hegel, Kant, and autonomy
            28:07 - Constraint closure and enactivism
            35:13 - How Hegel and Enactivitsm agree
            43:58 - Dialectics
            57:44 - Brain activity and enactivism
            1:20:02 - Heidegger and cognitive science
            1:26:59 - Artificial intelligence and Hegel
            1:29:15 - Mind agency decoupling
            1:43:38 - Evolution of conscious agency
            1:52:42 - Heterarchy via McCulloch

            1 hr 59 min
          • BI 245 Dan Levenstein: Neuro-AI, Dynamics, and Model Systems

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            The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

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            Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

            To explore more neuroscience news and perspectives, visit thetransmitter.org.

            Daniel Levenstein started his NeuroAI and Dynamics Lab at Yale University about a year ago. We briefly discuss what it's like to transition from a postdoc to a principle investigator, i.e. head of the lab. But most mostly we discuss his work and ideas. Dan studies spontaneous neural activity during sleep, specially in brain areas like hippocampus and cortex, and how this internally generated spontaneous activity is related to learning and memory and navigation. Really, he used to study those processes directly through experimental brain recording datasets. These days he builds and studies models of those processes, using AI models and seeing how their dynamics and functions match what we see in brains.

            Levenstein Lab

            • Social: @dlevenstein.bsky.social
            • Related papers
              • On the Role of Theory and Modeling in Neuroscience
              • The problem-ladenness of theory
              • Sequential predictive learning is a unifying theory for hippocampal representation and replay
              • 0:00 - Intro

                9:12 - Neuro-AI
                18:23 - Experiment vs theory
                20:36 - Ground vs active state neuron activity
                25:38 - Beginning a lab
                31:34 - Sleep and Internally generated activity
                40:02 - Spiking neural networks
                52:13 - Naturalistic neuro-AI
                59:52 - Cognitive maps, world models
                1:04:16 - Weasel words and motifs
                1:08:17 - Transformers and brains
                1:18:53 - AI vs biology
                1:24:32 - Neuroscience theory

                1 hr 37 min
              • BI 244 Marco Facchin: Philosophy and Science of Biological Brains

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                The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

                Read more about our partnership.

                Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

                To explore more neuroscience news and perspectives, visit thetransmitter.org.

                Marco Facchin is a postdoctoral philosopher of neuroscience and cognitive sciences more broadly at the University of Antwerp. He and his colleague Farid Zahnoun recently hosted a workshop called Beyond Neuro-computationalism with themselves and a handful of speakers, almost all of whom have been on Brain Inspired. In that workshop, they discussed many topics around this sort of forever ongoing reassessment in neuroscience and philosophy about how best to think about cognition, the role of brains, embodied, enactive, embedded, extended - known together as 4E cognition - how much biological detail matters for a good explanation, and so on. The talks from that workshop are online, and I'll link to them in the show notes. So today Marco and I discuss how that all went, and many of the topics and themes I just mentioned, plus his own work and ideas along those lines.

                Marco Facchin

                • Social: @marcofacchin.bsky.social
                • Beyond neuro-computationalism talks.
                • Why can’t we say what cognition is (at least for the time being)
                • Predictive processing and anti-representationalism
                • Defusing the Representation-Hungry Challenge
                • Structural representations do not meet the job description challenge
                • Structure and function in the predictive brain
                • Read the transcript.

                  0:00 - Intro

                  3:30 - Beyond neuro-computationalism
                  14:02 - Vicente Raja motifs
                  17:58 - 4E cognition
                  32:36 - Philosophy and neuroscience
                  42:18 - The problem with predictive processing
                  48:56 - Role of AI in understanding brains and minds
                  54:05 - Metabolic constraints
                  1:07:58 - A philosopher's view of neuroscience
                  1:13:27 - A-lieving and AI
                  1:25:47 - AI consciousness

                  1 hr 30 min
                • BI 243 Alison Barth: Learning as a Window to Cortex

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                  The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

                  Read more about our partnership.

                  Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

                  To explore more neuroscience news and perspectives, visit thetransmitter.org.

                  Alison Barth runs the Barth Lab at Carnegie Mellon University, where they use learning experiments in mice to try to figure out how the cortex works. As you may know, the brain in general but also the cortex itself is made up of a large variety neuron cell types, with different activity properties. Alison has the gritty job of identifying those different cell types in sensory cortex, and seeing how they change when animals learn to associate rewards with sensory stimulation. So unlike many of the guests, who take a much more zoomed out view and look at how populations of neurons carry out some function, Alison is happiest down at the cellular level. So we talk about her work, why she prefers to work at that scale, and a variety of related topics.

                  • Barth Lab.
                  • Related papers
                    • Barth lab publications.
                    • Learning, prediction accuracy, and neural plasticity in sensory cortex.
                    • Read the transcript.

                      0:00 - Intro

                      4:24 - Alison's trajectory to learning and memory
                      21:02 - Automated mouse learning experiments
                      25:34 - What is success in this line of work?
                      32:34 - How many cell types do we need to explain?
                      34:33 - Current experiments
                      38:11 - How does cortex work?
                      45:19 - Predictive processing
                      1:02:01 - Obstacles
                      1:10:41 - Role of AI
                      1:33:38 - Moving forward

                      1 hr 41 min
                    • BI 242 Kathryn Nave: How Life Gets its Meaning and Intelligence

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                      The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

                      Read more about our partnership.

                      Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

                      To explore more neuroscience news and perspectives, visit thetransmitter.org.

                      Kathryn Nave is a Leverhulme Trust Early Career Fellow at the University of Edinburgh, and the author of the book A Drive to Survive: The Free Energy Principle and the Meaning of Life. In the book, Kate dives deep into the free energy principle and active inference, which are popular approaches to studying brains, minds, and organisms in general, and which are being used in artificial intelligence. Ultimately, Kate finds these approaches come up short as explanatory frameworks for life, and autonomy, and intelligence. Instead, Kate and many others advocate a framework that Kate calls constraint closure or closure of constraints, but also goes by the name organizational closure. This is a concept from philosophy and theoretical biology that people like Alvaro Moreno and Matteo Mossio have put forth in their 2015 book Biological Autonomy. The core ideas are also found in various forms from people like Robert Rosen, Stuart Kauffman, Alicia Juarrero, Terrence Deacon, and others. We discuss what constraint closure is, why Kate thinks it's a solid foundation to build on, and what if anything it means for cognitive science and brain sciences to embrace this constraint closure view. I highly recommend the book even if you're looking for a primer on the free energy principle and active inference. As we discuss, Kate's journalism experience has helped her become a wonderful communicator of these notoriously difficult concepts.

                      • Kathryn Nave
                      • @kathrynnave; @kathrynnave.eurosky.social.
                      • A Drive to Survive: The Free Energy Principle and the Meaning of Life
                      • Related episode:
                        • BI 241 Johannes Jaeger: Agency and the Cyborg Myth
                        • Mentioned in the episode:
                          • We Need To Rewild The Internet
                          • Beyond Control: Finding the Purpose of Enactive Cognitive Science
                          • Read the transcript.

                            0:00 - Intro

                            5:39 - Journalism back to philosophy
                            15:56 - How Kate got into predictive processing etc.
                            21:30 - Predictive processing and phenomenology
                            30:45 - Organizational closure
                            37:37 - Constraint closure beyond the single cell
                            45:04 - Brain as metabolic
                            50:12 - Basal cognition
                            52:13 - Degeneracy
                            55:08 - Neutral networks
                            1:00:33 - AI and autonomy
                            1:08:12 - Meaning and mind
                            1:10:02 - Why do we need brains?
                            1:17:33 - Reframe neuroscience?
                            1:23:51 - Reifying models
                            1:27:43 - Free energy principle and active inference
                            1:37:16 - Tolerating as much variability as possible

                            1 hr 45 min
                          • BI 241 Johannes Jaeger: Agency and the Cyborg Myth

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                            Johannes Jaeger is Associate Faculty at the Complexity Science Hub in Vienna. He's also a freelance researcher, a philosopher, and an educator. He's here today to educate us about some of the fundamental differences between living organisms and machines, like AI, and why we should care about those differences. We discuss his paper The Cyborg Myth, an argument for why we can't seamlessly replace ourselves with machine parts over time. We talk about judgment and relevance realization as a fundamental difference between AI and living organisms -the ability to judge what is a relevant problem to solve in the first place, assuming intelligence is about problem solving. We also discuss what agency is in living systems, and why AI agents are something completely different. I think you get the recurring theme here. Yogi is writing a book called Beyond the Age of Machines, a work in progress and you can read it as he writes it on his expanding possibilities website.

                            • Untethered in the Platonic Realm (Yogi's website)
                            • Expanding Possibilities
                            • Book in progress: Beyond the Age of Machines
                            • Mastadon: @yoginho
                            • Related
                              • The Cyborg Myth.(talk version here)
                              • Naturalizing relevance realization: why agency and cognition are fundamentally not computational.
                              • Artificial intelligence is algorithmic mimicry: why artificial "agents" are not (and won't be) proper agents.
                              • Read the transcript.

                                0:00 - Intro

                                7:11 - The cyborg myth
                                15:16 - Judgment
                                24:22 - Consciousness
                                28:56 - Agency
                                36:40 - Relevance realization and energy efficiency
                                46:44 - Metabolism as a metaphor
                                1:00:39 - Robert Rosen
                                1:06:20 - Conceptual engineering
                                1:12:55 - Dynamics and computation
                                1:23:07 - Agency book

                                1 hr 38 min
                              • BI 240 Cristopher Moore: Cognition and Computational Complexity

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                                The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

                                Read more about our partnership.

                                Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

                                To explore more neuroscience news and perspectives, visit thetransmitter.org.

                                Cristopher Moore is a professor at the Santa Fe Institute in New Mexico, and he is a computation and computational complexity expert. He recently joined a us in my complexity discussion group, and answered a bunch of our questions, but I wasn't done with him regarding what, if anything, computational complexity has to do understanding how brains and minds work. So that's why he's here today, and we discuss a wide variety of topics related to AI, computation, computational complexity, and cognition.

                                • Cris's Homepage
                                • Book:
                                  • The Nature of Computation
                                  • Related papers
                                    • What Is a Macrostate? Subjective Observations and Objective Dynamics
                                    • Read the transcript.

                                      0:00 - Intro

                                      4:24 - The Nature of Computation
                                      9:14 - Computational complexity
                                      28:22 - Real mathematics
                                      35:08 - Current state of AI
                                      39:04 - Computational complexity in the AI world
                                      47:53 - Cognition, creation, problems
                                      56:16 - Rugged landscapes and generalization
                                      1:13:52 - What is computation?
                                      1:32:31 - How would you study the brain?

                                      1 hr 43 min
                                    • BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived Experience

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                                      he Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

                                      Read more about our partnership.

                                      Check out this story: Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience

                                      Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

                                      To explore more neuroscience news and perspectives, visit thetransmitter.org.

                                      Neuroscience studies in part the relation between brain activity and behaviors. But, what is a behavior? It's a simple question, but there's no simple answer. For example, you're behaving right now, whatever you're doing, even if you're not doing much. When you cross the street, how many behaviors do you use? When you sleep, what behaviors do you do? Hopefully these simple examples make you think about how difficult it can be call some single movement a behavior.

                                      Nedah Nemati is a philosopher of neuroscience at Columbia University. I met Nedah at a workshop a few months ago, where we chatted about the growing trend in neuroscience toward what is sometimes being called "naturalistic neuroscience," which really means varying levels of allowing organisms to behave more freely, less constrained, than traditional neuroscience experiments that seek to minimize unrelated to the behavior or cognition you want to isolate to study and explain. In more extreme cases, researches will try in the lab to emulate as much as possible the ecological world a particular organism has evolved to exist in, or even perform the experiments out of the lab, in the wild, so to speak. So a good part of our discussion revolves around this trend, and what counts as a "naturalistic" behavior, and how the tools we use to perform experiments shape the experiments and the scientific questions themselves.

                                      Nedah has a neuroscience background, but in her philosophical work she has embedded herself into various neuroscience labs to better understand how the experiences of the researchers themselves, called their lived experiences, shape the assumptions and questions in their science. As an example, we discuss her work looking into the neuroscience of sleep from over a 100 years ago to today. When a modern neuroscientist studies sleep, are they studying the same thing a scientist claimed to be studying 100 years ago, even though they claimed to be studying sleep back then as well?

                                      • Nedah's website.
                                      • Transmitter piece:
                                        • Beyond the algorithmic oracle: Rethinking machine learning in behavioral neuroscience
                                        • Related papers
                                          • Rethinking Neuroscientific Methodology: Lived Experience in Behavioral Studies
                                          • What is ‘Natural’ about Naturalistic Neuroscience?
                                          • Read the transcript.

                                            0:00 - Intro

                                            5:00 - Philosopher in a lab
                                            20:21 - Sleep as behavior
                                            22:22 - How the study of "sleep" has changed
                                            27:24 - How tools and methods shape definitions
                                            46:07 - Naturalistic neuroscience
                                            1:00:47 - Naturalistic vs experimental
                                            1:14:32 - How tools change theory
                                            1:16:57 - Lived experience
                                            1:26:28 - Lived experience vs. bias
                                            1:37:09 - AI and engineering in neuroscience
                                            1:45:29 - Should a lab hire a philosopher?

                                            1 hr 54 min
                                          • BI 238 James Harrison: Hypnosis as Mental Foraging

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                                            James Harrison is a clinical hypnotist, and author of a new book, Mental Foraging and the Evolution of Memory: An Updated Model of Clinical Hypnosis. As you probably know, hypnosis carries some historical baggage, for example, in terms of how it could be used to manipulate people into having false memories that could be damaging to themselves and those around them. That baggage carries over into modern medical and clinical practice, with many people giving the side eye to hypnosis and disregarding it as a useful tool in the toolkit of treating patients with mental disorders or psychological distress. As a clinician, and as someone who has seen clinical hypnosis work for people, James set about exploring how it might be explained in modern neuroscience terms and concepts. What he ended up with is an account of hypnosis grounded in the neuroscience of state changes, interoception, exteroception, and predictive processing. His hope is that if we get the scientific explanation right of how it works, hypnosis might become more accepted as an effective tool among other psychological treatments.

                                            James's website. 

                                            • Mental Foraging and the Evolution of Memory: An Updated Model of Clinical Hypnosis.
                                            • @JamesMHarrison_
                                            • 0:00 - Intro

                                              4:23 - Why the book?
                                              15:21 - Hypnosis as mental foraging
                                              21:57 - Freud's unconscious
                                              23:51 - How it all works
                                              30:27 - Memory reconsolidation
                                              36:41 - Historical rejection of hypnosis
                                              48:44 - Old practice, new explanations
                                              51:55 - Clinician is a guide
                                              1:07:31 - Effectiveness
                                              1:22:22 - Aristotle's common sense
                                              1:30:47 - Allostasis and predictive processing

                                              1 hr 47 min
                                            • BI 237 Ehud Ahissar: Consciousness and Perceptual Dualism

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                                              The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.

                                              Read more about our partnership.

                                              Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.

                                              To explore more neuroscience news and perspectives, visit thetransmitter.org.

                                              Ehud Ahissar runs the Ahissar Lab at the Weizmann Institute in Israel, where he studies the neuronal and behavioral mechanisms of perception. Ehud sees perception as a closed-loop process, in which organisms actively generate the sensory signals they interpret. Today, we discuss his development of an idea about how this kind of processing can account for our conscious experience. It's a type of dualism Ehud calls "perceptual dualism," different than the dualisms you may already know. I'll use his own words to summarize it here…

                                              "The idea is that humans inevitably experience the world through two fundamentally different modes: digital brain–brain (BB) communication and analog brain–world (BW) interaction. In this view, the mind, and consciousness, emerge as social-like phenomena (in the philosophical sense), grounded in BB communication while constrained by BW interaction."

                                              Take note of the term brain-brain, shortened as BB, and the term brain-world, shortened as BW, because throughout our discussion you'll often hear just BB and BW to refer to those two distinct domains.

                                              So we discuss the ins and outs of his ideas, how came to them via studying active sensing in rodent whisker neurophysiology, how the brain implements this dualism via nested loops of neural circuitry that oppose and interlace with each other at multiple levels, and the idea that attractors, in the dynamical systems sense of attractor, may be the corresponding brain signatures of the digital phenomena that belong to the brain-brain mode of cognition.

                                              • Ahissar Lab
                                              • @ehudahissar; @ehudahissar.bsky.social
                                              • Related papers
                                                • Digital–Analog Perceptual Duality
                                                • Closed-loop perception: gaps between artificial intelligence and biology
                                                • Read the transcript.

                                                  0:00 - Intro

                                                  5:09 - A new kind of dualism
                                                  7:19 - Ehud's whiskers background
                                                  14:10 - Digital-analog perceptual dualism
                                                  26:08 - Digital communication between humans
                                                  32:26 - Attractors as the digital-analog interface
                                                  39:50 - Consciousness
                                                  50:11 - Dynamics and perceptual bottleneck
                                                  51:47 - Language, AI, and digital symbols
                                                  1:00:54 - Computation and brains (digital and analog)
                                                  1:06:43 - Improving AI with event based activation
                                                  1:11:10 - Dualism
                                                  1:17:26 - The hard problem of consciousness
                                                  1:21:26 - BB and BW interaction
                                                  1:24:55 - Tension between BB and BW
                                                  1:34:28 - Looking forward
                                                  1:37:37 - Srange loops

                                                  1 hr 43 min

                                                About Brain Inspired

                                                From the publisher's feed

                                                Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about…

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