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BestsellerE-book

Title Bayesian brain : probabilistic approaches to neural coding / Kenji Doya [and others].

Publication Info. Cambridge, Mass. : MIT Press, [2007]
©2007

Item Status

Description 1 online resource (xiii, 326 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Computational neuroscience
Computational neuroscience.
Bibliography Includes bibliographical references and index.
Contents A probability primer / Kenji Doya, Shin Ishii -- Spike coding / Adrienne Fairhall -- Likelihood-based approaches to modeling the neural code / Jonathan Pillow -- Combining order statistics with Bayes theorem for millisecond-by-millisecond decoding of spike trains / Barry J. Richmond, Matthew C. Wiener -- Bayesian treatments of neuroimaging data / Will Penny, Karl Friston -- Population codes / Alexandre Pouget, Richard S. Zemel -- Computing with population codes / Peter Latham, Alexandre Pouget -- Efficient coding of visual scenes by grouping and segmentation / Tai Sing Lee, Alan L. Yuille -- Bayesian models of sensory cue integration / David C. Knill -- Speed and accuracy of a simple perceptual decision : a mathematical primer / Michael N. Shadlen [and others] -- Neural models of Bayesian belief propagation / Rajesh P.N. Rao -- Optimal control theory / Emanuel Todorov -- Bayesian statistics and utility functions in sensorimotor control / Konrad P. Körding, Daniel M. Wolpert.
Summary Experimental and theoretical neuroscientists use Bayesian approaches to analyse the brain mechanisms of perception decision-making, and motor control.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Brain.
Brain.
Neurons.
Neurons.
Bayesian statistical decision theory.
Bayesian statistical decision theory.
Brain -- physiology.
Neurons -- physiology.
Bayes Theorem.
Models, Neurological.
Genre/Form Electronic books.
Added Author Doya, Kenji.
Other Form: Print version: Bayesian brain. Cambridge, Mass. : MIT Press, ©2007 9780262042383 026204238X (DLC) 2006049827 (OCoLC)70292171
ISBN 9780262294188 (electronic book)
0262294184 (electronic book)
9781435624672 (electronic book)
143562467X (electronic book)