Bayesian brain
Subtitle: probabilistic approaches to neural coding
By: Kenji Doya ... [et al.].
Contributors: Doya, Kenji.
Series: Computational neuroscience
Publisher: MIT Press
Published: 2007
Place of publication: Cambridge, Mass
Language: eng
Number of pages: 326
ISBN-13: 9780262042383
Subjects: Brain -- physiology; Neurons -- physiology; Bayes Theorem; Models, Neurological; Brain; Neurons; Bayesian statistical decision theory
Notes: Includes bibliographical references and index.
Table of contents: title: A; title: probability primer -- Kenji Doya, Shin Ishii; title: Spike coding -- Adrienne Fairhall; title: Likelihood-based approaches to modeling the neural code -- Jonathan Pillow; title: Combining order statistics with Bayes theorem for millisecond-by-millisecond decoding of spike trains -- Barry J. Richmond, Matthew C. Wiener; title: Bayesian treatments of neuroimaging data -- Will Penny, Karl Friston; title: Population codes -- Alexandre Pouget, Richard S. Zemel; title: Computing with population codes -- Peter Latham, Alexandre Pouget; title: Efficient coding of visual scenes by grouping and segmentation -- Tai Sing Lee, Alan L. Yuille; title: Bayesian models of sensory cue integration -- David C. Knill -- The; title: speed and accuracy of a simple perceptual decision : a mathematical primer -- Michael N. Shadlen ... [et al.]; title: Neural models of Bayesian belief propagation -- Rajesh P. N. Rao; title: Optimal control theory -- Emanuel Todorov; title: Bayesian statistics and utility functions in sensorimotor control-- Konrad P. Körding, Daniel M. Wolpert.