Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields (Hardcover, 1st ed. 2016)

This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 39
Release date:	November 2015
First published:	2016
Authors:	Robert Kozma • Walter J. Freeman
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	262
Edition:	1st ed. 2016
ISBN-13:	978-3-319-24404-4
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Social sciences > Psychology > Cognition & cognitive psychology > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	3-319-24404-3
Barcode:	9783319244044

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