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000705039 020__ $$a9783642544743 $$qelectronic book
000705039 020__ $$a3642544746 $$qelectronic book
000705039 020__ $$z9783642544736
000705039 0247_ $$a10.1007/978-3-642-54474-3$$2doi
000705039 035__ $$aSP(OCoLC)ocn880634072
000705039 035__ $$aSP(OCoLC)880634072
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000705039 049__ $$aISEA
000705039 050_4 $$aQP357.5
000705039 08204 $$a612.8$$223
000705039 24500 $$aDirected information measures in neuroscience /$$cMichael Wibral, Raul Vicente, Joseph T. Lizier, editors.
000705039 264_1 $$aHeidelberg :$$bSpringer,$$c2014.
000705039 300__ $$a1 online resource (xiv, 225 pages) :$$billustrations (some color).
000705039 336__ $$atext$$btxt$$2rdacontent
000705039 337__ $$acomputer$$bc$$2rdamedia
000705039 338__ $$aonline resource$$bcr$$2rdacarrier
000705039 4901_ $$aUnderstanding Complex Systems,$$x1860-0832
000705039 4901_ $$aSpringer complexity
000705039 504__ $$aIncludes bibliographical references and indexes.
000705039 5050_ $$aPart 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.
000705039 506__ $$aAccess limited to authorized users.
000705039 520__ $$aAnalysis 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.
000705039 588__ $$aDescription based on online resource; title from PDF title page (SpringerLink, viewed May 28, 2014).
000705039 650_0 $$aComputational neuroscience.
000705039 650_0 $$aNeural networks (Computer science)
000705039 650_0 $$aNeural networks (Neurobiology)
000705039 7001_ $$aWibral, Michael,$$eeditor.
000705039 7001_ $$aVicente, Raul,$$eeditor.
000705039 7001_ $$aLizier, Joseph T.,$$eeditor.
000705039 830_0 $$aUnderstanding complex systems,$$x1860-0832
000705039 830_0 $$aSpringer complexity.
000705039 85280 $$bebk$$hSpringerLink
000705039 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-642-54474-3$$zOnline Access
000705039 909CO $$ooai:library.usi.edu:705039$$pGLOBAL_SET
000705039 980__ $$aEBOOK
000705039 980__ $$aBIB
000705039 982__ $$aEbook
000705039 983__ $$aOnline
000705039 994__ $$a92$$bISE