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Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields/ by Robert Kozma, Walter J. Freeman.
作者:	Kozma, Robert.
其他作者:	Freeman, Walter J.
面頁冊數:	XXV, 262 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-24406-8
ISBN:	9783319244068

Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
Kozma, Robert.

Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields[electronic resource] /by Robert Kozma, Walter J. Freeman. - 1st ed. 2016. - XXV, 262 p.online resource. - Studies in Systems, Decision and Control,392198-4182 ;. - Studies in Systems, Decision and Control,27.

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.

ISBN: 9783319244068

Standard No.: 10.1007/978-3-319-24406-8doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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