Studies in Systems, Decision and Control

Kozma, Robert; Freeman, Walter J.

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.

Details

Published by: Springer

Publication Date: 2015-11-06

Format: Hardcover

ISBN-13: 9783319244044

DOI: 10.1007/978-3-319-24406-8

Dimensions: 235cm x155cm

Pages: 262