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Computational Modeling of Neural Activities for Statistical Inference

Antonio Kolossa




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 | #9270155 in Books |  2016-05-12 | Original language:English | PDF # 1 |  9.21 x.38 x6.14l,.0 | File type: PDF | 127 pages

||From the Back Cover||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 obse

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 ...

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