Directed Information Measures in Neuroscience
Editors: Wibral, Michael, Vicente, Raul, Lizier, Joseph T. (Eds.)
Free Preview- Reflects the most recent developments in the quantification of information transfer via directed information measures
- Provides the reader with the state-of-the-art concepts and tools for measuring information transfer in the brain and includes applications to real data sets
- Makes the reader familiar with the concept of transfer entropy – the most popular measure of information transfer
- Edited and written by the most active researchers in the field
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- About this book
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Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic transfer of information continuously runs on top of the brain's slowly-changing anatomical connectivity. Measuring such transfer is crucial to understanding how flexible information routing and processing give rise to higher cognitive function. Directed Information Measures in Neuroscience reviews recent developments of concepts and tools for measuring information transfer, their application to neurophysiological recordings and analysis of interactions. Written by the most active researchers in the field the book discusses the state of the art, future prospects and challenges on the way to an efficient assessment of neuronal information transfer. Highlights include the theoretical quantification and practical estimation of information transfer, description of transfer locally in space and time, multivariate directed measures, information decomposition among a set of stimulus/responses variables and the relation between interventional and observational causality. Applications to neural data sets and pointers to open source software highlight the usefulness of these measures in experimental neuroscience. With state-of-the-art mathematical developments, computational techniques and applications to real data sets, this book will be of benefit to all graduate students and researchers interested in detecting and understanding the information transfer between components of complex systems.
- Table of contents (8 chapters)
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Transfer Entropy in Neuroscience
Pages 3-36
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Efficient Estimation of Information Transfer
Pages 37-58
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Conditional Entropy-Based Evaluation of Information Dynamics in Physiological Systems
Pages 61-86
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Information Transfer in the Brain: Insights from a Unified Approach
Pages 87-110
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Function Follows Dynamics: State-Dependency of Directed Functional Influences
Pages 111-135
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Table of contents (8 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Directed Information Measures in Neuroscience
- Editors
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- Michael Wibral
- Raul Vicente
- Joseph T. Lizier
- Series Title
- Understanding Complex Systems
- Copyright
- 2014
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-54474-3
- DOI
- 10.1007/978-3-642-54474-3
- Hardcover ISBN
- 978-3-642-54473-6
- Softcover ISBN
- 978-3-662-52257-8
- Series ISSN
- 1860-0832
- Edition Number
- 1
- Number of Pages
- XIV, 225
- Number of Illustrations
- 43 b/w illustrations, 8 illustrations in colour
- Topics
