DocumentCode
1385748
Title
Bayesian Brain: Probabilistic Approaches to Neural Coding (Doya, K., Eds., et al.; 2007) [Book Review]
Author
Deutsch, Sergej
Volume
1
Issue
3
fYear
2010
Firstpage
64
Lastpage
65
Abstract
As stated in the preface, "This book is based on lectures given at the First Okinawa Computational Neuroscience Course, held in November 2004 at Bankoku Shinryokan, Okinawa, Japan. The intention of the course was to bring together both experimental and theoretical neuroscientists employing the principles of Bayesian estimation to understand the brain mechanisms of perception, decision, and control." There are 13 chapters written by 23 contributors. While there are some noted omissions and errors, this book belongs in the library of every neuroscientist who wishes to be at the forefront of theoretical and/or experimental analysis.
Keywords
Bayesian methods; Book reviews; Brain models; Probability;
fLanguage
English
Journal_Title
Pulse, IEEE
Publisher
ieee
ISSN
2154-2287
Type
jour
DOI
10.1109/MPUL.2010.939182
Filename
5642158
Link To Document