BI 235 Romain Brette: The Brain, in Theory @braininspired
BI 235 Romain Brette: The Brain, in Theory  @braininspired
Uploaded April 2026 | Updated September 2026, 2 hours ago
Romain Brette explains why theoretical neuroscience should replace the concepts of coding, information, representation, prediction, and computation.

Show notes: braininspired.co/podcast/235

Romain's previous BI episode:
BI 079 Romain Brette: The Coding Brain Metaphor
youtube.com/watch?v=YPTQHTFQafE

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Music by @dunovank

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Brains encode information in representations that perform computations to make predictions, right? No, no, no, and no. That's Romain Brette's response to those ill-conceived notions that neuroscience relies on to try to explain how cognition works. He uses more words to do that in his new book, The Brain, in Theory, which we discuss today. In the book Romain breaks down how many of the common metaphors we use don’t withstand scrutiny, and he offers alternative approaches more in line with what we know about how biological entities work. Along those lines, we discuss his ongoing work understanding the cognition of a single celled organism, the paramecium, and what his views might mean for artificial intelligence. This is a long episode, but there's a lot more to be explored in the book, so I recommend you read it. If you're a patreon supporter, I coaxed Romain back on for another 45 minutes to go deeper on his thoughts about how anticipation is the core of cognition, how predictive processing accounts like active inference miss the mark, and a few other topics.

0:00 - Intro
4:01 - The Brain, In Theory
7:10 - Influences
13:11 - Process metaphysics
18:39 - Observer vs system perspective
21:24 - Information in the brain?
22:56 - Why this book?
29:52 - Computations in the brain
52:14 - Behavior is not a computation
1:07:20 - Paramecium cognition
1:22:02 - How should neuroscientists proceed?
1:29:09 - Cognition as collective behavior of autonomous cells
1:36:47 - Constraints, causes, and laws
1:52:36 - Hopes for the book to influence the field
1:55:04 - Thoughts about AI
2:02:13 - Computation and goals
2:08:17 - Anticipation vs prediction
BI 235 Romain Brette: The Brain, in TheoryBI 139 Marc Howard: Compressed Time and MemoryBI 128 Hakwan Lau: In Consciousness We TrustBI 117 Anil Seth: Being YouBI 155 Luiz Pessoa: The Entangled BrainBI 104 John Kounios and David Rosen: Creativity, Expertise, InsightBI 214 Nicole Rust: How To Actually Fix Brains and MindsBI 120 James Fitzgerald, Andrew Saxe, Weinan Sun: Optimizing MemoriesBI 197 Karen Adolph: How Babies Learn to Move and ThinkBI 156 Mariam Aly: Memory, Attention, and PerceptionBI 227 Decoding Memories from ConnectomesBI 189 Joshua Vogelstein: Connectomes and Prospective Learning
Brain Inspired |

BI 235 Romain Brette: The Brain, in Theory

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