Bayesian brain : probabilistic approaches to neural coding /

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

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Doya, Kenji
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2007.
Colección:Computational neuroscience.
Temas:
Brain.
Neurons.
Bayesian statistical decision theory.
Brain > physiology
Neurons > physiology
Brain
Neurons
Bayes Theorem
Models, Neurological
Cerveau.
Neurones.
Théorie de la décision bayésienne.
Théorème de Bayes.
brains.
MEDICAL > Neuroscience.
PSYCHOLOGY > Neuropsychology.
Bayes-Verfahren
Neuropsychologie
NEUROSCIENCE/General
Aufsatzsammlung.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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