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 :
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