Bayesian Brain: Probabilistic Aproaches to Neural Coding: Probabilistic Approaches to Neural Coding - Rilegato

Rilegato

ISBN 10: 026204238X ISBN 13: 9780262042383

Casa editrice: Mit Pr, 2006

Riassunto

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.

Su questo libro

L'autore:

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

Product Description:

Book by None

Su questa edizione

• Editore: Mit Pr
• Data di pubblicazione: 2006
• ISBN 10: 026204238X
• ISBN 13: 9780262042383
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 326
• Redattore: Doya Kenji, Ishii Shin, Pouget Alexandre, Rao Rajesh P. N.