Computational Modeling of Neural Activities for Statistical Inference

Nonfiction, Science & Nature, Mathematics, Applied, Technology, Engineering
Cover of the book Computational Modeling of Neural Activities for Statistical Inference by Antonio Kolossa, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Antonio Kolossa ISBN: 9783319322858
Publisher: Springer International Publishing Publication: May 12, 2016
Imprint: Springer Language: English
Author: Antonio Kolossa
ISBN: 9783319322858
Publisher: Springer International Publishing
Publication: May 12, 2016
Imprint: Springer
Language: English

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.

 

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

 

More books from Springer International Publishing

Cover of the book Interactive Storytelling by Antonio Kolossa
Cover of the book Undergraduate Algebra by Antonio Kolossa
Cover of the book Flexible Approaches in Data, Information and Knowledge Management by Antonio Kolossa
Cover of the book Changes in the Use of Wild Food Plants in Estonia by Antonio Kolossa
Cover of the book Neurath Reconsidered by Antonio Kolossa
Cover of the book Political, Economic and Financial Country Risk by Antonio Kolossa
Cover of the book Natural Gas: A Commercial Perspective by Antonio Kolossa
Cover of the book Sustainable Freight Transport by Antonio Kolossa
Cover of the book Pericyte Biology in Different Organs by Antonio Kolossa
Cover of the book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by Antonio Kolossa
Cover of the book Lasers with Nuclear Pumping by Antonio Kolossa
Cover of the book Active Multiplexing of Spectrally Engineered Heralded Single Photons in an Integrated Fibre Architecture by Antonio Kolossa
Cover of the book Mathematical Cardiac Electrophysiology by Antonio Kolossa
Cover of the book Narratives in Black British Dance by Antonio Kolossa
Cover of the book Geological Evolution of the Precambrian Indian Shield by Antonio Kolossa
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy