Computational Modeling of Neural Activities for Statistical Inference

• Main Author: Kolossa, Antonio (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Subjects: Mathematics.; Neurosciences.; Computer simulation.; Neural networks (Computer science).; Biomathematics.; Biomedical engineering.; Mathematical Models of Cognitive Processes and Neural Networks.; Biomedical Engineering.; Physiological, Cellular and Medical Topics.; Simulation and Modeling.

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 obse...

Table of Contents:

• 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.