Computational Modeling of Neural Activities for Statistical Inference 2016

by

Write The First Customer Review

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 ...

Computational Modeling of Neural Activities for Statistical Inference 2016 2016, Springer International Publishing AG, Cham

ISBN-13: 9783319322841

Hardcover

Select