Directed Information Measures in Neuroscience (Record no. 51509)

000 -LEADER
fixed length control field 03443nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-642-54474-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420220214.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140320s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642544743
-- 978-3-642-54474-3
082 04 - CLASSIFICATION NUMBER
Call Number 620
245 10 - TITLE STATEMENT
Title Directed Information Measures in Neuroscience
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 225 p. 51 illus., 8 illus. in color.
490 1# - SERIES STATEMENT
Series statement Understanding Complex Systems,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Part I Introduction to Directed Information Measures -- Part II Information Transfer in Neural and Other Physiological Systems -- Part III Recent Advances in the Analysis of Information Processing.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Wibral, Michael.
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Author 2 Vicente, Raul.
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Author 2 Lizier, Joseph T.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-54474-3
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Koha item type eBooks
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-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Coding theory.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Complexity, Computational.
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-- Biomedical engineering.
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-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Complexity.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Coding and Information Theory.
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-- Biomedical Engineering.
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-- 1860-0832
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-- ZDB-2-ENG

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