Escucha el podcast Brain Inspired

BI 226 Tatiana Engel: The High and Low Dimensional Brain	Brain Inspired	96:18
BI 225 Henk De Regt: Understanding in Machines and Humans	Brain Inspired	103:30
BI 224 Dan Nicholson: Schrödinger’s What is Life? Revisited	Brain Inspired	109:02
BI 223 Vicente Raja: Ecological Psychology Motifs in Neuroscience	Brain Inspired	99:01
BI 222 Nikolay Kukushkin: Minds and Meaning from Nature’s Ideas	Brain Inspired	88:26
BI 221 Ann Kennedy: Theory Beneath the Cortical Surface	Brain Inspired	103:37
BI 220 Michael Breakspear and Mac Shine: Dynamic Systems from Neurons to Brains	Brain Inspired	85:05
BI 219 Xaq Pitkow: Principles and Constraints of Cognition	Brain Inspired	107:11
BI 218 Chris Rozell: Brain Stimulation and AI for Mental Disorders	Brain Inspired	106:39
BI 217 Jennifer Prendki: Consciousness, Life, AI, and Quantum Physics	Brain Inspired	108:53
BI 216 Woodrow Shew and Keith Hengen: The Nature of Brain Criticality	Brain Inspired	94:21
BI 215 Xiao-Jing Wang: Theoretical Neuroscience Comes of Age	Brain Inspired	112:02
BI 214 Nicole Rust: How To Actually Fix Brains and Minds	Brain Inspired	93:26
BI 213 Representations in Minds and Brains	Brain Inspired	127:09
BI 212 John Beggs: Why Brains Seek the Edge of Chaos	Brain Inspired	93:34
BI 211 COGITATE: Testing Theories of Consciousness	Brain Inspired	119:40
BI 210 Dean Buonomano: Consciousness, Time, and Organotypic Dynamics	Brain Inspired	110:33
BI 209 Aran Nayebi: The NeuroAI Turing Test	Brain Inspired	103:59
BI 208 Gabriele Scheler: From Verbal Thought to Neuron Computation	Brain Inspired	95:08
BI 207 Alison Preston: Schemas in our Brains and Minds	Brain Inspired	89:47
Quick Announcement: Complexity Group	Brain Inspired	06:47
BI 206 Ciara Greene: Memories Are Useful, Not Accurate	Brain Inspired	89:10
BI 205 Dmitri Chklovskii: Neurons Are Smarter Than You Think	Brain Inspired	99:05
BI 204 David Robbe: Your Brain Doesn’t Measure Time	Brain Inspired	97:37
BI 203 David Krakauer: How To Think Like a Complexity Scientist	Brain Inspired	106:03
BI 202 Eli Sennesh: Divide-and-Conquer to Predict	Brain Inspired	98:11
BI 201 Rajesh Rao: From Predictive Coding to Brain Co-Processors	Brain Inspired	97:22
BI 200 Grace Hwang and Joe Monaco: The Future of NeuroAI	Brain Inspired	97:11
BI 199 Hessam Akhlaghpour: Natural Universal Computation	Brain Inspired	109:07
BI 198 Tony Zador: Neuroscience Principles to Improve AI	Brain Inspired	95:04
BI 197 Karen Adolph: How Babies Learn to Move and Think	Brain Inspired	89:31
BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød	Brain Inspired	79:40
BI 195 Ken Harris and Andreas Tolias with Gaute Einevoll and Mikkel Lepperød	Brain Inspired	77:05
BI 194 Vijay Namboodiri & Ali Mohebi: Dopamine Keeps Getting More Interesting	Brain Inspired	97:21
BI 193 Kim Stachenfeld: Enhancing Neuroscience and AI	Brain Inspired	92:41
BI 192 Àlex Gómez-Marín: The Edges of Consciousness	Brain Inspired	90:34
BI 191 Damian Kelty-Stephen: Fractal Turbulent Cascading Intelligence	Brain Inspired	87:51
BI 190 Luis Favela: The Ecological Brain	Brain Inspired	101:03
BI 189 Joshua Vogelstein: Connectomes and Prospective Learning	Brain Inspired	87:19
BI 188 Jolande Fooken: Coordinating Action and Perception	Brain Inspired	88:14

BI 226 Tatiana Engel: The High and Low Dimensional Brain

Brain Inspired

96:18

BI 225 Henk De Regt: Understanding in Machines and Humans

Brain Inspired

103:30

BI 224 Dan Nicholson: Schrödinger’s What is Life? Revisited

Brain Inspired

109:02

BI 223 Vicente Raja: Ecological Psychology Motifs in Neuroscience

Brain Inspired

99:01