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 from Connectomes

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

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

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 Neuro-AI

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 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 176 David Poeppel Returns