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Bayesian brain : probabilistic approaches to neural coding

Autor: Kenji Doya
Editorial: Cambridge, Mass. : MIT Press, ©2007.
Serie: Computational neuroscience.
Edición/Formato:   Print book : Inglés (eng)Ver todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:

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

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Género/Forma: Aufsatzsammlung
Tipo de material: Recurso en Internet
Tipo de documento: Libro/Texto, Recurso en Internet
Todos autores / colaboradores: Kenji Doya
ISBN: 9780262042383 026204238X
Número OCLC: 70292171
Descripción: xiii, 326 pages : illustrations ; 24 cm.
Contenido: 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.
Título de la serie: Computational neuroscience.
Responsabilidad: Kenji Doya [and others].

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