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Computational Modeling of Neural Activities for Statistical Inference (Paperback, Softcover reprint of the original 1st ed. 2016)
Loot Price: R1,853
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Computational Modeling of Neural Activities for Statistical Inference (Paperback, Softcover reprint of the original 1st ed. 2016)
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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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