Computational Modeling of Neural Activities for Statistical Inference

• Κύριος συγγραφέας: Kolossa, Antonio (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.