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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Review of Dynamical Brain Theories and Experiments
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Supplementary Materials on Brain Structure and Dynamics
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Commentaries on Neuroscience Experiments at Cell and Population Levels
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Commentaries on Differential Equation in Cortical Models
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
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