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Product Identifiers
PublisherMIT Press
ISBN-10026204238X
ISBN-139780262042383
eBay Product ID (ePID)25038272566
Product Key Features
Number of Pages352 Pages
Publication NameBayesian Brain : Probabilistic Approaches to Neural Coding
LanguageEnglish
SubjectNeuroscience, Probability & Statistics / Bayesian Analysis
Publication Year2006
TypeTextbook
Subject AreaMathematics, Medical
AuthorAlexandre Pouget
SeriesComputational Neuroscience Ser.
FormatHardcover
Dimensions
Item Height0.9 in
Item Weight24.6 Oz
Item Length9.1 in
Item Width7.2 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2006-049827
Dewey Edition22
Grade FromCollege Graduate Student
IllustratedYes
Dewey Decimal612.8/2
SynopsisA 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., Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.
LC Classification NumberQP376.B39 2007
