Brain Inspired

Brain Inspired

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Brain Inspired episodes

  • BI 157 Sarah Robins: Philosophy of Memory

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    Sarah Robins is a philosopher at the University of Kansas, one a growing handful of philosophers specializing in memory. Much of her work focuses on memory traces, which is roughly the idea that somehow our memories leave a trace in our minds. We discuss memory traces themselves and how they relate to the engram (see BI 126 Randy Gallistel: Where Is the Engram?, and BI 127 Tomás Ryan: Memory, Instinct, and Forgetting).

    Psychology has divided memories into many categories - the taxonomy of memory. Sarah and I discuss how memory traces may cross-cut those categories, suggesting we may need to re-think our current ontology and taxonomy of memory.

    We discuss a couple challenges to the idea of a stable memory trace in the brain. Neural dynamics is the notion that all our molecules and synapses are constantly changing and being recycled. Memory consolidation refers to the process of transferring our memory traces from an early unstable version to a more stable long-term version in a different part of the brain. Sarah thinks neither challenge poses a real threat to the idea

    We also discuss the impact of optogenetics on the philosophy and neuroscience and memory, the debate about whether memory and imagination are essentially the same thing, whether memory's function is future oriented, and whether we want to build AI with our often faulty human-like memory or with perfect memory.

    • Sarah's website.
    • Twitter: @SarahKRobins.
    • Related papers:
      • Her Memory chapter, with Felipe de Brigard, in the book Mind, Cognition, and Neuroscience: A Philosophical Introduction.
      • Memory and Optogenetic Intervention: Separating the engram from the ecphory.
      • Stable Engrams and Neural Dynamics.
      • 0:00 - Intro

        4:18 - Philosophy of memory
        5:10 - Making a move
        6:55 - State of philosophy of memory
        11:19 - Memory traces or the engram
        20:44 - Taxonomy of memory
        25:50 - Cognitive ontologies, neuroscience, and psychology
        29:39 - Optogenetics
        33:48 - Memory traces vs. neural dynamics and consolidation
        40:32 - What is the boundary of a memory?
        43:00 - Process philosophy and memory
        45:07 - Memory vs. imagination
        49:40 - Constructivist view of memory and imagination
        54:05 - Is memory for the future?
        58:00 - Memory errors and intelligence
        1:00:42 - Memory and AI
        1:06:20 - Creativity and memory errors

        1 hr 21 min
      • BI 156 Mariam Aly: Memory, Attention, and Perception

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        Mariam Aly runs the Aly lab at Columbia University, where she studies the interaction of memory, attention, and perception in brain regions like the hippocampus. The short story is that memory affects our perceptions, attention affects our memories, memories affect our attention, and these effects have signatures in neural activity measurements in our hippocampus and other brain areas. We discuss her experiments testing the nature of those interactions. We also discuss a particularly difficult stretch in Mariam's graduate school years, and how she now prioritizes her mental health.

        • Aly Lab.
        • Twitter: @mariam_s_aly.
        • Related papers
          • Attention promotes episodic encoding by stabilizing hippocampal representations.
          • The medial temporal lobe is critical for spatial relational perception.
          • Cholinergic modulation of hippocampally mediated attention and perception.
          • Preparation for upcoming attentional states in the hippocampus and medial prefrontal cortex.
          • How hippocampal memory shapes, and is shaped by, attention.
          • Attentional fluctuations and the temporal organization of memory.
          • 0:00 - Intro

            3:50 - Mariam's background
            9:32 - Hippocampus history and current science
            12:34 - hippocampus and perception
            13:42 - Relational information
            18:30 - How much memory is explicit?
            22:32 - How attention affects hippocampus
            32:40 - fMRI levels vs. stability
            39:04 - How is hippocampus necessary for attention
            57:00 - How much does attention affect memory?
            1:02:24 - How memory affects attention
            1:06:50 - Attention and memory relation big picture
            1:07:42 - Current state of memory and attention
            1:12:12 - Modularity
            1:17:52 - Practical advice to improve attention/memory
            1:21:22 - Mariam's challenges

            1 hr 41 min
          • BI 155 Luiz Pessoa: The Entangled Brain

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            Luiz Pessoa runs his Laboratory of Cognition and Emotion at the University of Maryland, College Park, where he studies how emotion and cognition interact. On this episode, we discuss many of the topics from his latest book, The Entangled Brain: How Perception, Cognition, and Emotion Are Woven Together, which is aimed at a general audience. The book argues we need to re-think how to study the brain. Traditionally, cognitive functions of the brain have been studied in a modular fashion: area X does function Y. However, modern research has revealed the brain is highly complex and carries out cognitive functions in a much more interactive and integrative fashion: a given cognitive function results from many areas and circuits temporarily coalescing (for similar ideas, see also BI 152 Michael L. Anderson: After Phrenology: Neural Reuse). Luiz and I discuss the implications of studying the brain from a complex systems perspective, why we need go beyond thinking about anatomy and instead think about functional organization, some of the brain's principles of organization, and a lot more.

            • Laboratory of Cognition and Emotion.
            • Twitter: @PessoaBrain.
            • Book: The Entangled Brain: How Perception, Cognition, and Emotion Are Woven Together
            • 0:00 - Intro

              2:47 - The Entangled Brain
              16:24 - How to think about complex systems
              23:41 - Modularity thinking
              28:16 - How to train one's mind to think complex
              33:26 - Problem or principle?
              44:22 - Complex behaviors
              47:06 - Organization vs. structure
              51:09 - Principles of organization: Massive Combinatorial Anatomical Connectivity
              55:15 - Principles of organization: High Distributed Functional Connectivity
              1:00:50 - Principles of organization: Networks as Functional Units
              1:06:15 - Principles of Organization: Interactions via Cortical-Subcortical Loops
              1:08:53 - Open and closed loops
              1:16:43 - Principles of organization: Connectivity with the Body
              1:21:28 - Consciousness
              1:24:53 - Emotions
              1:32:49 - Emottions and AI
              1:39:47 - Emotion as a concept
              1:43:25 - Complexity and functional organization in AI

              1 hr 55 min
            • BI 154 Anne Collins: Learning with Working Memory

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              Anne Collins runs her  Computational Cognitive Neuroscience Lab at the University of California, Berkley One of the things she's been working on for years is how our working memory plays a role in learning as well, and specifically how working memory and reinforcement learning interact to affect how we learn, depending on the nature of what we're trying to learn. We discuss that interaction specifically. We also discuss more broadly how segregated and how overlapping and interacting our cognitive functions are, what that implies about our natural tendency to think in dichotomies - like MF vs MB-RL, system-1 vs system-2, etc., and we dive into plenty other subjects, like how to possibly incorporate these ideas into AI.

              • Computational Cognitive Neuroscience Lab.
              • Twitter: @ccnlab or @Anne_On_Tw.
              • Related papers:
                • How Working Memory and Reinforcement Learning Are Intertwined: A Cognitive, Neural, and Computational Perspective. 
                • Beyond simple dichotomies in reinforcement learning.
                • The Role of Executive Function in Shaping Reinforcement Learning.
                • What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience.
                • 0:00 - Intro

                  5:25 - Dimensionality of learning
                  11:19 - Modularity of function and computations
                  16:51 - Is working memory a thing?
                  19:33 - Model-free model-based dichotomy
                  30:40 - Working memory and RL
                  44:43 - How working memory and RL interact
                  50:50 - Working memory and attention
                  59:37 - Computations vs. implementations
                  1:03:25 - Interpreting results
                  1:08:00 - Working memory and AI

                  1 hr 23 min
                • BI 153 Carolyn Dicey-Jennings: Attention and the Self

                  Check out my free video series about what's missing in AI and Neuroscience

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                  Carolyn Dicey Jennings is a philosopher and a cognitive scientist at University of California, Merced. In her book The Attending Mind, she lays out an attempt to unify the concept of attention. Carolyn defines attention roughly as the mental prioritization of some stuff over other stuff based on our collective interests. And one of her main claims is that attention is evidence of a real, emergent self or subject, that can't be reduced to microscopic brain activity. She does connect attention to more macroscopic brain activity, suggesting slow longer-range oscillations in our brains can alter or entrain the activity of more local neural activity, and this is a candidate for mental causation. We unpack that more in our discussion, and how Carolyn situates attention among other cognitive functions, like consciousness, action, and perception.

                  • Carolyn's website.
                  • Books:
                    • The Attending Mind.
                    • Aeon article:
                      • I Attend, Therefore I Am.
                      • Related papers
                        • The Subject of Attention.
                        • Consciousness and Mind.
                        • Practical Realism about the Self.
                        • 0:00 - Intro

                          12:15 - Reconceptualizing attention
                          16:07 - Types of attention
                          19:02 - Predictive processing and attention
                          23:19 - Consciousness, identity, and self
                          30:39 - Attention and the brain
                          35:47 - Integrated information theory
                          42:05 - Neural attention
                          52:08 - Decoupling oscillations from spikes
                          57:16 - Selves in other organisms
                          1:00:42 - AI and the self
                          1:04:43 - Attention, consciousness, conscious perception
                          1:08:36 - Meaning and attention
                          1:11:12 - Conscious entrainment
                          1:19:57 - Is attention a switch or knob?

                          1 hr 26 min
                        • BI 152 Michael L. Anderson: After Phrenology: Neural Reuse

                          Check out my free video series about what's missing in AI and Neuroscience

                          Support the show to get full episodes, full archive, and join the Discord community.

                          Michael L. Anderson is a professor at the Rotman Institute of Philosophy, at Western University. His book, After Phrenology: Neural Reuse and the Interactive Brain, calls for a re-conceptualization of how we understand and study brains and minds. Neural reuse is the phenomenon that any given brain area is active for multiple cognitive functions, and partners with different sets of brain areas to carry out different cognitive functions. We discuss the implications for this, and other topics in Michael's research and the book, like evolution, embodied cognition, and Gibsonian perception. Michael also fields guest questions from John Krakauer and Alex Gomez-Marin, about representations and metaphysics, respectively.

                          • Michael's website.
                          • Twitter: @mljanderson.
                          • Book:
                            • After Phrenology: Neural Reuse and the Interactive Brain.
                            • Related papers
                              • Neural reuse: a fundamental organizational principle of the brain.
                              • Some dilemmas for an account of neural representation: A reply to Poldrack.
                              • Debt-free intelligence: Ecological information in minds and machines
                              • Describing functional diversity of brain regions and brain networks.
                              • 0:00 - Intro

                                3:02 - After Phrenology
                                13:18 - Typical neuroscience experiment
                                16:29 - Neural reuse
                                18:37 - 4E cognition and representations
                                22:48 - John Krakauer question
                                27:38 - Gibsonian perception
                                36:17 - Autoencoders without representations
                                49:22 - Pluralism
                                52:42 - Alex Gomez-Marin question - metaphysics
                                1:01:26 - Stimulus-response historical neuroscience
                                1:10:59 - After Phrenology influence
                                1:19:24 - Origins of neural reuse
                                1:35:25 - The way forward

                                1 hr 46 min
                              • BI 151 Steve Byrnes: Brain-like AGI Safety

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                                Steve Byrnes is a physicist turned AGI safety researcher. He's concerned that when we create AGI, whenever and however that might happen, we run the risk of creating it in a less than perfectly safe way. AGI safety (AGI not doing something bad) is a wide net that encompasses AGI alignment (AGI doing what we want it to do). We discuss a host of ideas Steve writes about in his Intro to Brain-Like-AGI Safety blog series, which uses what he has learned about brains to address how we might safely make AGI.

                                • Steve's website.
                                • Twitter: @steve47285
                                • Intro to Brain-Like-AGI Safety.
                                1 hr 32 min
                              • BI 150 Dan Nicholson: Machines, Organisms, Processes

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                                Dan Nicholson is a philosopher at George Mason University. He incorporates the history of science and philosophy into modern analyses of our conceptions of processes related to life and organisms. He is also interested in re-orienting our conception of the universe as made fundamentally of things/substances, and replacing it with the idea the universe is made fundamentally of processes (process philosophy). In this episode, we both of those subjects, the why the "machine conception of the organism" is incorrect, how to apply these ideas to topics like neuroscience and artificial intelligence, and much more.

                                • Dan's website. Google Scholar.
                                • Twitter: @NicholsonHPBio
                                • Book
                                  • Everything Flows: Towards a Processual Philosophy of Biology.
                                • Related papers
                                  • Is the Cell Really a Machine?
                                  • The Machine Conception of the Organism in Development and Evolution: A Critical Analysis.
                                  • On Being the Right Size, Revisited: The Problem with Engineering Metaphors in Molecular Biology.
                                • Related episode: BI 118 Johannes Jäger: Beyond Networks.

                                0:00 - Intro

                                2:49 - Philosophy and science
                                16:37 - Role of history
                                23:28 - What Is Life? And interaction with James Watson
                                38:37 - Arguments against the machine conception of organisms
                                49:08 - Organisms as streams (processes)
                                57:52 - Process philosophy
                                1:08:59 - Alfred North Whitehead
                                1:12:45 - Process and consciousness
                                1:22:16 - Artificial intelligence and process
                                1:31:47 - Language and symbols and processes

                                1 hr 39 min
                              • BI 149 William B. Miller: Cell Intelligence

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                                William B. Miller is an ex-physician turned evolutionary biologist. In this episode, we discuss topics related to his new book, Bioverse: How the Cellular World Contains the Secrets to Life's Biggest Questions. The premise of the book is that all individual cells are intelligent in their own right, and possess a sense of self. From this, Bill makes the case that cells cooperate with other cells to engineer whole organisms that in turn serve as wonderful hosts for the myriad cell types. Further, our bodies are collections of our own cells (with our DNA), and an enormous amount and diversity of foreign cells - our microbiome - that communicate and cooperate with each other and with our own cells. We also discuss how cell intelligence compares to human intelligence, what Bill calls the "era of the cell" in science, how the future of medicine will harness the intelligence of cells and their cooperative nature, and much more.

                                • William's website.
                                • Twitter: @BillMillerMD.
                                • Book: Bioverse: How the Cellular World Contains the Secrets to Life's Biggest Questions.

                                0:00 - Intro

                                3:43 - Bioverse
                                7:29 - Bill's cell appreciation origins
                                17:03 - Microbiomes
                                27:01 - Complexity of microbiomes and the "Era of the cell"
                                46:00 - Robustness
                                55:05 - Cell vs. human intelligence
                                1:10:08 - Artificial intelligence
                                1:21:01 - Neuro-AI
                                1:25:53 - Hard problem of consciousness

                                1 hr 34 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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