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Computational Modeling of Neural Activities for Statistical Inference
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Catalogue Information
Field name
Details
Dewey Class
519
Title
Computational Modeling of Neural Activities for Statistical Inference ([EBook]) / by Antonio Kolossa.
Author
Kolossa, Antonio
Other name(s)
SpringerLink (Online service)
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2016.
Physical Details
XXIV, 127 p. 42 illus., 20 illus. in color. : online resource.
ISBN
9783319322858
Summary Note
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. .:
Contents note
Basic Principles of ERP Research, Surprise, and Probability Estimation -- Introduction to Model Estimation and Selection Methods -- A New Theory of Trial-by-Trial P300 Amplitude Fluctuations -- Bayesian Inference and the Urn-Ball Task -- Summary and Outlook.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site
http://dx.doi.org/10.1007/978-3-319-32285-8
Links to Related Works
Subject References:
Biomathematics
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Biomedical engineering
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Computer simulation
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Mathematical Models of Cognitive Processes and Neural Networks
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Mathematics
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Neural networks (Computer science)
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Neurosciences
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Physiological, Cellular and Medical Topics
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Simulation and Modeling
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Authors:
Kolossa, Antonio
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519
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