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Bayesian brain : probabilistic approaches to neural coding
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Bayesian brain : probabilistic approaches to neural coding

Author: Kenji Doya; et al
Publisher: Cambridge, Mass. : MIT Press, ©2007.
Series: Computational neuroscience.
Edition/Format:   Book : EnglishView all editions and formats
Summary:

Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control.

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Details

Genre/Form: Aufsatzsammlung
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Kenji Doya; et al
ISBN: 9780262042383 026204238X
OCLC Number: 70292171
Description: xiii, 326 p. : ill. ; 24 cm.
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 --
The speed and accuracy of a simple perceptual decision : a mathematical primer / Michael N. Shadlen ... [et al.] --
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.
Series Title: Computational neuroscience.
Responsibility: Kenji Doya ... [et al.].

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