Bayesian Brain: Probabilistic Approaches to Neural Coding

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ISBN 10: 0262516012 ISBN 13: 9780262516013

Published by MIT Press, 2011

Language: English

Condition: Used - Good Soft cover

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Bibliographic Details

Title

Bayesian Brain: Probabilistic Approaches to Neural Coding

Publisher

MIT Press

Publication Date

2011

Language

English

ISBN 10

0262516012

ISBN 13

9780262516013

Binding

Paperback

Condition

Good

Dust Jacket Condition

No Jacket

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About this title

Synopsis

Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

A Bayesian approach can contribute to an understanding of the brain on multiple levels, by giving normative predictions about how an ideal sensory system should combine prior knowledge and observation, by providing mechanistic interpretation of the dynamic functioning of the brain circuit, and by suggesting optimal ways of deciphering experimental data. Bayesian Brain brings together contributions from both experimental and theoretical neuroscientists that examine the brain mechanisms of perception, decision making, and motor control according to the concepts of Bayesian estimation.After an overview of the mathematical concepts, including Bayes' theorem, that are basic to understanding the approaches discussed, contributors discuss how Bayesian concepts can be used for interpretation of such neurobiological data as neural spikes and functional brain imaging. Next, contributors examine the modeling of sensory processing, including the neural coding of information about the outside world. Finally, contributors explore dynamic processes for proper behaviors, including the mathematics of the speed and accuracy of perceptual decisions and neural models of belief propagation.

About the Author

Shin Ishii is Professor in the Graduate School of Information Science, Nara Institute of Science and Technology, Japan.

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