Overview
- 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
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 39)
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Table of contents (22 chapters)
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Front Matter
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Review of Dynamical Brain Theories and Experiments
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Front Matter
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Supplementary Materials on Brain Structure and Dynamics
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Front Matter
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Commentaries on Neuroscience Experiments at Cell and Population Levels
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Front Matter
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Commentaries on Differential Equation in Cortical Models
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Front Matter
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Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
Authors: Robert Kozma, Walter J. Freeman
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-319-24406-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-24404-4Published: 06 November 2015
Softcover ISBN: 978-3-319-37352-2Published: 23 August 2016
eBook ISBN: 978-3-319-24406-8Published: 30 October 2015
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXV, 262
Topics: Computational Intelligence, Artificial Intelligence, Complexity, Cognitive Psychology