Computational Modeling of Neural Activities for Statistical Inference - Couverture rigide

Kolossa, Antonio

 
9783319322841: Computational Modeling of Neural Activities for Statistical Inference
Couverture rigide
ISBN 10 : 3319322842 ISBN 13 : 9783319322841
Editeur : Springer International Publishing AG, 2016

Synopsis

This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks. The employed observer models are useful to compute probability distributions over observable events and hidden states, depending on which are present in the respective tasks. Bayesian model selection is then used to choose the model which best explains the ERP amplitude fluctuations. Thus, this book constitutes a decisive step towards a better understanding of the neural coding and computing of probabilities following Bayesian rules. The target audience primarily comprises research experts in the field of computational neurosciences, but the book may also be beneficial for graduate students who want to specialize in this field.


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Éditeur
Springer International Publishing AG
Date d'édition
2016
Langue
anglais
ISBN 10 
3319322842
ISBN 13 
9783319322841
Reliure
Relié
Numéro d'édition
1
Nombre de pages
151
Coordonnées du fabricant
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

Autres éditions populaires du même titre

9783319812434: Computational Modeling of Neural Activities for Statistical Inference

Edition présentée

ISBN 10 :  3319812432 ISBN 13 :  9783319812434
Editeur : Springer, 2018
Couverture souple