Bayesian brain: probabilistic approaches to neural coding
Gespeichert in:
Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge, Mass. MIT Press c2007
Schriftenreihe:Computational neuroscience
Schlagworte:
Online-Zugang:FAW01
FAW02
Volltext
Beschreibung: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 ... [et al.] -- - 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
Experimental and theoretical neuroscientists use Bayesian approaches to analyse the brain mechanisms of perception decision-making, and motor control
Beschreibung:1 Online-Ressource (xiii, 326 p.)
ISBN:0262294184
143562467X
9780262294188
9781435624672

Es ist kein Print-Exemplar vorhanden.

Fernleihe Bestellen Achtung: Nicht im THWS-Bestand! Volltext öffnen