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Kategorie szczegółowe BISAC

Directed Information Measures in Neuroscience

ISBN-13: 9783642544736 / Angielski / Twarda / 2014 / 225 str.

Michael Wibral; Raul Vicente; Joseph T. Lizier
Directed Information Measures in Neuroscience Michael Wibral Raul Vicente Joseph T. Lizier 9783642544736 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Directed Information Measures in Neuroscience

ISBN-13: 9783642544736 / Angielski / Twarda / 2014 / 225 str.

Michael Wibral; Raul Vicente; Joseph T. Lizier
cena 403,47 zł
(netto: 384,26 VAT:  5%)

Najniższa cena z 30 dni: 385,52 zł
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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.

Kategorie:
Hobby, Dom
Kategorie BISAC:
Technology & Engineering > Engineering (General)
Computers > Information Theory
Technology & Engineering > Biomedical
Wydawca:
Springer
Seria wydawnicza:
Understanding Complex Systems
Język:
Angielski
ISBN-13:
9783642544736
Rok wydania:
2014
Wydanie:
2014
Numer serii:
000307910
Ilość stron:
225
Waga:
0.45 kg
Wymiary:
23.37 x 15.49 x 2.03
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

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.

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.



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