
New Books Network Rafael Yuste, "Lectures in Neuroscience" (Columbia UP, 2023)
Jan 16, 2026
Rafael Yuste, a Columbia University professor and expert in cerebral cortex function, shares insights from his book, *Lectures in Neuroscience*. He critiques the traditional neuron doctrine, advocating for a view of the brain as a predictive machine that continuously models reality. Yuste discusses the significance of neuronal ensembles in generating thoughts and emotions, as well as the implications of pruning during brain development related to conditions like schizophrenia. He underscores the need for fresh perspectives in neuroscience.
AI Snips
Chapters
Books
Transcript
Episode notes
Brain As An Always-On Predictor
- The brain is not an input-output machine but an always-on predictive system that generates internal activity.
- Neural networks of groups of neurons endogenously produce states that represent the world and anticipate the future.
Internal Virtual-Reality Model
- The brain builds an internal virtual-reality model and fast-forwards it to predict outcomes.
- It constantly compares internal predictions with sensory input and updates the model when mismatches occur.
Evolution Implements Bayesian Strategies
- Animal and human behavior follow Bayesian-like probabilistic rules for predicting outcomes.
- Evolution discovered these algorithms long before formal mathematics like Bayes emerged.



