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Computational Modeling of Neural Activities for Statistical Inference

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Cover of 'Computational Modeling of Neural Activities for Statistical Inference'

Table of Contents

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    Book Overview
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    Chapter 1 Basic Principles of ERP Research, Surprise, and Probability Estimation
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    Chapter 2 Introduction to Model Estimation and Selection Methods
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    Chapter 3 A New Theory of Trial-by-Trial P300 Amplitude Fluctuations
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    Chapter 4 Bayesian Inference and the Urn-Ball Task
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    Chapter 5 Summary and Outlook
Attention for Chapter 1: Basic Principles of ERP Research, Surprise, and Probability Estimation
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