Bayesian Brain pdf epub mobi txt 電子書下載2025

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出版者:The MIT Press

作者:Doya, Kenji (EDT)/ Ishii, Shin (EDT)/ Pouget, Alexandre (EDT)/ Rao, Rajesh P. N. (EDT)

出品人:

頁數:344

译者:

出版時間:2006-12-22

價格:USD 58.00

裝幀:Hardcover

isbn號碼:9780262042383

叢書系列:

圖書標籤:

Brain
Bayesian
英語
心理
MachineLearning
認知科學
神經科學
實驗心理學

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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.