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



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Autore: Kolossa Antonio Visualizza persona
Titolo: Computational Modeling of Neural Activities for Statistical Inference / / by Antonio Kolossa Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XXIV, 127 p. 42 illus., 20 illus. in color.)
Disciplina: 519
Soggetto topico: Neural networks (Computer science)
Biomedical engineering
Neurosciences
Biomathematics
Computer simulation
Mathematical Models of Cognitive Processes and Neural Networks
Biomedical Engineering and Bioengineering
Physiological, Cellular and Medical Topics
Simulation and Modeling
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: 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.
Sommario/riassunto: 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. .
Titolo autorizzato: Computational modeling of neural activities for statistical inference  Visualizza cluster
ISBN: 3-319-32285-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254061603321
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