Description |
1 online resource (xiii, 326 pages) : illustrations |
Series |
Computational neuroscience |
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Computational neuroscience.
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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 |
Analysis |
NEUROSCIENCE/General |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
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Print version record |
Subject |
Brain.
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Neurons.
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Bayesian statistical decision theory.
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Brain -- physiology
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Neurons -- physiology
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Brain
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Neurons
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Bayes Theorem
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Models, Neurological
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brains.
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MEDICAL -- Neuroscience.
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PSYCHOLOGY -- Neuropsychology.
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Bayesian statistical decision theory
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Brain
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Neurons
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Bayes-Verfahren
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Neuropsychologie
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Genre/Form |
Aufsatzsammlung.
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Form |
Electronic book
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Author |
Doya, Kenji
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ISBN |
9780262294188 |
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0262294184 |
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9781435624672 |
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143562467X |
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1282100424 |
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9781282100428 |
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9786612100420 |
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6612100427 |
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