Computational Modeling of Neural Activities for Statistical Inference

Language: English

Published by Springer International Publishing Mai 2016, 2016

3319322842 / 9783319322841

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -This authored monograph supplies empirical evidence for the Bayesian brain hypothesis bymodeling event-related potentials (ERP) of the human electroencephalogram (EEG)during successive trials in cognitive tasks. The employed observer models are useful to computeprobability distributions over observable events and hidden states, depending onwhich are present in the respective tasks. Bayesianmodel selection is then used to choose the model which best explains the ERP amplitudefluctuations.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. 152 pp. Englisch.

Seller Inventory # 9783319322841

Title
Computational Modeling of Neural Activities for Statistical Inference
Author
Antonio Kolossa
Publisher
Springer International Publishing Mai 2016
Publication year
2016
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319322842
ISBN 13
9783319322841
Item weight
401 grams
Dimensions
241x160x14 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany