All Episodes
Brain Inspired — 155 episodes
BI 240 Cristopher Moore: Cognition and Computational Complexity
BI 239 Nedah Nemati: Naturalistic Neuroscience and Lived Experience
BI 238 James Harrison: Hypnosis as Mental Foraging
BI 237 Ehud Ahissar: Consciousness and Perceptual Dualism
BI 236 Liset de la Prida: Neurons, Ripples, and Manifolds
BI 235 Romain Brette: The Brain, in Theory
BI 234 Juan Gallego: The Neural Manifold Manifesto
BI 233 Tom Griffiths: The Laws of Thought
BI 232 How Should Neuroscience Integrate with Ecological Psychology?
BI 231 Jaan Aru: Conscious AI? Not Even Close!
BI 230 Michael Shadlen: How Thoughts Become Conscious
BI 229 Tomaso Poggio: Principles of Intelligence and Learning
BI 228 Alex Maier: Laws of Consciousness
BI 227 Decoding Memories: Aspirational Neuroscience 2025
BI 226 Tatiana Engel: The High and Low Dimensional Brain
BI 225 Henk De Regt: Understanding in Machines and Humans
BI 224 Dan Nicholson: Schrödinger’s What is Life? Revisited
BI 223 Vicente Raja: Ecological Psychology Motifs in Neuroscience
BI 222 Nikolay Kukushkin: Minds and Meaning from Nature’s Ideas
BI 221 Ann Kennedy: Theory Beneath the Cortical Surface
BI 220 Michael Breakspear and Mac Shine: Dynamic Systems from Neurons to Brains
BI 219 Xaq Pitkow: Principles and Constraints of Cognition
BI 218 Chris Rozell: Brain Stimulation and AI for Mental Disorders
BI 217 Jennifer Prendki: Consciousness, Life, AI, and Quantum Physics
BI 216 Woodrow Shew and Keith Hengen: The Nature of Brain Criticality
BI 215 Xiao-Jing Wang: Theoretical Neuroscience Comes of Age
BI 214 Nicole Rust: How To Actually Fix Brains and Minds
BI 213 Representations in Minds and Brains
BI 212 John Beggs: Why Brains Seek the Edge of Chaos
BI 211 COGITATE: Testing Theories of Consciousness
BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics
BI 209 Aran Nayebi: The NeuroAI Turing Test
BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation
BI 207 Alison Preston: Schemas in our Brains and Minds
Quick Announcement: Complexity Group
BI 206 Ciara Greene: Memories Are Useful, Not Accurate
BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think
BI 204 David Robbe: Your Brain Doesn’t Measure Time
BI 203 David Krakauer: How To Think Like a Complexity Scientist
BI 202 Eli Sennesh: Divide-and-Conquer to Predict
BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors
BI 200 Grace Hwang and Joe Monaco: The Future of NeuroAI
BI 199 Hessam Akhlaghpour: Natural Universal Computation
BI 198 Tony Zador: Neuroscience Principles to Improve AI
BI 197 Karen Adolph: How Babies Learn to Move and Think
BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød
BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød
BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting
BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI
BI 192 Àlex Gómez-Marín: The Edges of Consciousness
BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence
BI 190 Luis Favela: The Ecological Brain
BI 189 Joshua Vogelstein: Connectomes and Prospective Learning
BI 188 Jolande Fooken: Coordinating Action and Perception
BI 187: COSYNE 2024 Neuro-AI Panel
BI 186 Mazviita Chirimuuta: The Brain Abstracted
BI 185 Eric Yttri: Orchestrating Behavior
BI 184 Peter Stratton: Synthesize Neural Principles
BI 183 Dan Goodman: Neural Reckoning
BI 182: John Krakauer Returns… Again
BI 181 Max Bennett: A Brief History of Intelligence
BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding
BI 179 Laura Gradowski: Include the Fringe with Pluralism
BI 178 Eric Shea-Brown: Neural Dynamics and Dimensions
BI 177 Special: Bernstein Workshop Panel
BI 176 David Poeppel Returns
BI 175 Kevin Mitchell: Free Agents
BI 174 Alicia Juarrero: Context Changes Everything
BI 173 Justin Wood: Origins of Visual Intelligence
BI 172 David Glanzman: Memory All The Way Down
BI 171 Mike Frank: Early Language and Cognition
BI 170 Ali Mohebi: Starting a Research Lab
BI 169 Andrea Martin: Neural Dynamics and Language
BI 168 Frauke Sandig and Eric Black w Alex Gomez-Marin: AWARE: Glimpses of Consciousness
BI 167 Panayiota Poirazi: AI Brains Need Dendrites
BI 166 Nick Enfield: Language vs. Reality
BI 165 Jeffrey Bowers: Psychology Gets No Respect
BI 164 Gary Lupyan: How Language Affects Thought
BI 163 Ellie Pavlick: The Mind of a Language Model
BI 162 Earl K. Miller: Thoughts are an Emergent Property
BI 161 Hugo Spiers: Navigation and Spatial Cognition
BI 160 Ole Jensen: Rhythms of Cognition
BI 159 Chris Summerfield: Natural General Intelligence
BI 158 Paul Rosenbloom: Cognitive Architectures
BI 157 Sarah Robins: Philosophy of Memory
BI 156 Mariam Aly: Memory, Attention, and Perception
BI 155 Luiz Pessoa: The Entangled Brain
BI 154 Anne Collins: Learning with Working Memory
BI 153 Carolyn Dicey-Jennings: Attention and the Self
BI 152 Michael L. Anderson: After Phrenology: Neural Reuse
BI 151 Steve Byrnes: Brain-like AGI Safety
BI 150 Dan Nicholson: Machines, Organisms, Processes
BI 149 William B. Miller: Cell Intelligence
BI 148 Gaute Einevoll: Brain Simulations
BI 147 Noah Hutton: In Silico
BI 146 Lauren Ross: Causal and Non-Causal Explanation
BI 145 James Woodward: Causation with a Human Face
BI 144 Emily M. Bender and Ev Fedorenko: Large Language Models
BI 143 Rodolphe Sepulchre: Mixed Feedback Control
BI 142 Cameron Buckner: The New DoGMA
BI 141 Carina Curto: From Structure to Dynamics
BI 140 Jeff Schall: Decisions and Eye Movements
BI 139 Marc Howard: Compressed Time and Memory
BI 138 Matthew Larkum: The Dendrite Hypothesis
BI 137 Brian Butterworth: Can Fish Count?
BI 136 Michel Bitbol and Alex Gomez-Marin: Phenomenology
BI 135 Elena Galea: The Stars of the Brain
BI 134 Mandyam Srinivasan: Bee Flight and Cognition
BI 133 Ken Paller: Lucid Dreaming, Memory, and Sleep
BI 132 Ila Fiete: A Grid Scaffold for Memory
BI 131 Sri Ramaswamy and Jie Mei: Neuromodulation-aware DNNs
BI 130 Eve Marder: Modulation of Networks
BI 129 Patryk Laurent: Learning from the Real World
BI 128 Hakwan Lau: In Consciousness We Trust
BI 127 Tomás Ryan: Memory, Instinct, and Forgetting
BI 126 Randy Gallistel: Where Is the Engram?
BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys
BI 124 Peter Robin Hiesinger: The Self-Assembling Brain
BI 123 Irina Rish: Continual Learning
BI 122 Kohitij Kar: Visual Intelligence
BI 121 Mac Shine: Systems Neurobiology
BI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing Memories
BI 119 Henry Yin: The Crisis in Neuroscience
BI 118 Johannes Jäger: Beyond Networks
BI 117 Anil Seth: Being You
BI 116 Michael W. Cole: Empirical Neural Networks
BI 115 Steve Grossberg: Conscious Mind, Resonant Brain
BI 114 Mark Sprevak and Mazviita Chirimuuta: Computation and the Mind
BI 113 David Barack and John Krakauer: Two Views On Cognition
BI ViDA Panel Discussion: Deep RL and Dopamine
BI 112 Ali Mohebi and Ben Engelhard: The Many Faces of Dopamine
BI NMA 06: Advancing Neuro Deep Learning Panel
BI NMA 05: NLP and Generative Models Panel
BI NMA 04: Deep Learning Basics Panel
BI 111 Kevin Mitchell and Erik Hoel: Agency, Emergence, Consciousness
BI NMA 03: Stochastic Processes Panel
BI NMA 02: Dynamical Systems Panel
BI NMA 01: Machine Learning Panel
BI 110 Catherine Stinson and Jessica Thompson: Neuro-AI Explanation
BI 109 Mark Bickhard: Interactivism
BI 108 Grace Lindsay: Models of the Mind
BI 107 Steve Fleming: Know Thyself
BI 106 Jacqueline Gottlieb and Robert Wilson: Deep Curiosity
BI 105 Sanjeev Arora: Off the Convex Path
BI 104 John Kounios and David Rosen: Creativity, Expertise, Insight
BI 103 Randal Koene and Ken Hayworth: The Road to Mind Uploading
BI 102 Mark Humphries: What Is It Like To Be A Spike?
BI 101 Steve Potter: Motivating Brains In and Out of Dishes
BI 100.6 Special: Do We Have the Right Vocabulary and Concepts?
BI 100.4 Special: What Ideas Are Holding Us Back?
BI 100.3 Special: Can We Scale Up to AGI with Current Tech?
BI 100.2 Special: What Are the Biggest Challenges and Disagreements?
BI 100.1 Special: What Has Improved Your Career or Well-being?
BI 099 Hakwan Lau and Steve Fleming: Neuro-AI Consciousness
BI 098 Brian Christian: The Alignment Problem