Center for Advanced Intelligence Project

Speaker: Alexandre Pouget
Date: June 5th, 11am
Venue: Open area at RIKEN-AIP Nihombashi (only for AIP researchers)

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Title: The Bayesian brain
Abstract: A large swath of behavioral experiments suggest that approximate Bayesian inference is at the heart of all neural computation, whether for perception, cognition or motor control. I will present a specific theory of how neural circuits implement probabilistic inference using a neural code known as probabilistic population code, and review experimental evidence in support of this theory. I will also present recent data showing that prior expectations are encoded throughout the entire brain, thus suggesting that the brain function as a large recurrent Bayesian network.