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Computational Modeling of Neural Activities for Statistical Inference by Antonio Kolossa
Computational Modeling of Neural Activities for Statistical Inference by Antonio Kolossa
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Computational Modeling of Neural Activities for Statistical Inference

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Description

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.  
Release date Australia
May 27th, 2018
Audience
  • Professional & Vocational
Edition
Softcover reprint of the original 1st ed. 2016
Illustrations
10 Tables, color; 20 Illustrations, color; 22 Illustrations, black and white; XXIV, 127 p. 42 illus., 20 illus. in color.
Pages
127
Dimensions
156x234x8
ISBN-13
9783319812434
Product ID
28210036

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Computational Modeling of Neural Activities for Statistical Inference on Hardback by Antonio Kolossa Save $39
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Computational Modeling of Neural Activities for Statistical Inference
by Antonio Kolossa ~ Hardback
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