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

Contributor(s): Material type: TextTextSeries: Computational neurosciencePublication details: Cambridge, Mass. : MIT Press, ©2007.Description: 1 online resource (xiii, 326 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780262294188
  • 0262294184
  • 9781435624672
  • 143562467X
  • 1282100424
  • 9781282100428
  • 9786612100420
  • 6612100427
Subject(s): Genre/Form: Additional physical formats: Print version:: Bayesian brain.DDC classification:
  • 612.8/2 22
LOC classification:
  • QP376 .B39 2007eb
NLM classification:
  • 2007 C-283
  • WL 300
Other classification:
  • CZ 1300
  • QH 233
  • SK 170
Online resources:
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 [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.
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Includes bibliographical references and index.

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 [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.

Print version record.

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

English.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

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