Directed information measures in neuroscience /: Michael Wibral, Raul Vicente, Joseph T. Lizier, editors.

Wibral, Michael,; Vicente, Raul,; Lizier, Joseph T.,

doi:10.1007/978-3-642-54474-3

Directed information measures in neuroscience / Michael Wibral, Raul Vicente, Joseph T. Lizier, editors.

Wibral, Michael, editor.; Vicente, Raul, editor.; Lizier, Joseph T., editor.

2014

QP357.5

Available Online

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Title

Directed information measures in neuroscience / Michael Wibral, Raul Vicente, Joseph T. Lizier, editors.

ISBN

9783642544743 electronic book
3642544746 electronic book
9783642544736

DOI

https://doi.org/10.1007/978-3-642-54474-3

Published

Heidelberg : Springer, 2014.

Language

English

Description

1 online resource (xiv, 225 pages) : illustrations (some color).

Item Number

10.1007/978-3-642-54474-3 doi

Call Number

QP357.5

Dewey Decimal Classification

612.8

Summary

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.

Bibliography, etc. Note

Includes bibliographical references and indexes.

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Access limited to authorized users.

Source of Description

Description based on online resource; title from PDF title page (SpringerLink, viewed May 28, 2014).

Added Author

Wibral, Michael, editor.
Vicente, Raul, editor.
Lizier, Joseph T., editor.

Series

Understanding complex systems, 1860-0832
Springer complexity.

Linked Resources

Online Access