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Titlebook: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura; Robert Kozma,Walter J. Freeman Book

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书目名称Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura
编辑Robert Kozma,Walter J. Freeman
视频videohttp://file.papertrans.cn/230/229076/229076.mp4
概述Presents a complex systems perspective of Cognition.Demonstrates a new original view at cognition as a neural percolation process.Includes commentaries by famous specialists in the neuro/brain-system
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neura;  Robert Kozma,Walter J. Freeman Book
描述.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..
出版日期Book 2016
关键词Cognition; Cognitive Systems; Complex Systems; Neural Percolation; Neural Percolation Process; complexity
版次1
doihttps://doi.org/10.1007/978-3-319-24406-8
isbn_softcover978-3-319-37352-2
isbn_ebook978-3-319-24406-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer International Publishing Switzerland 2016
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Commentary by B. Baarsmata. It also implies scale-free dynamics and inverse power-law distributions of cortical connectivity and EEG power. Yet what is it that is being propagated? In the conventional view, conscious visual percepts emerge from more than 40 visuotopical activity arrays linked bidirectionally, so that . e
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Self-Regulation of the Brain and Behaviormata. It also implies scale-free dynamics and inverse power-law distributions of cortical connectivity and EEG power. Yet what is it that is being propagated? In the conventional view, conscious visual percepts emerge from more than 40 visuotopical activity arrays linked bidirectionally, so that . e
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