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

Contributor(s): Doya, Kenji
Material type: TextTextSeries: Computational neuroscience: Publisher: Cambridge, Mass. : MIT Press, ©2007Description: 1 online resource (xiii, 326 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780262294188; 0262294184; 9781435624672; 143562467XSubject(s): Brain | Neurons | Bayesian statistical decision theory | Brain -- physiology | Neurons -- physiology | Bayes Theorem | Models, Neurological | MEDICAL -- Neuroscience | PSYCHOLOGY -- Neuropsychology | Bayesian statistical decision theory | Brain | Neurons | Bayes-Verfahren | Neuropsychologie | NEUROSCIENCE/GeneralGenre/Form: Electronic books. | Electronic books. | Aufsatzsammlung. Additional physical formats: Print version:: Bayesian brain.DDC classification: 612.8/2 LOC classification: QP376 | .B39 2007ebOther classification: CZ 1300 | QH 233 | SK 170 Online resources: Click here to access online
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

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.

There are no comments for this item.

to post a comment.

Powered by Koha