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Directed Information Measures in Neuroscience

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Cover of 'Directed Information Measures in Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 Transfer Entropy in Neuroscience
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    Chapter 2 Efficient Estimation of Information Transfer
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    Chapter 3 Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systems
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    Chapter 4 Information Transfer in the Brain: Insights from a Unified Approach
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    Chapter 5 Function Follows Dynamics: State-Dependency of Directed Functional Influences
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    Chapter 6 On Complexity and Phase Effects in Reconstructing the Directionality of Coupling in Non-linear Systems
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    Chapter 7 Measuring the Dynamics of Information Processing on a Local Scale in Time and Space
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    Chapter 8 Parametric and Non-parametric Criteria for Causal Inference from Time-Series
Attention for Chapter 3: Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systems
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