Publisher | Springer International Publishing AG |
ISBN 13 | 9783319244044 |
ISBN 10 | 3319244043 |
Book Description | 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. |
Language | English |
Author | Robert Kozma, Walter J. Freeman |
Publication Date | 01 Dec 2015 |
Number of Pages | 262 |
Cognitive Phase Transitions In The Cerebral Cortex: Enhancing The Neuron Doctrine By Modeling Neural Fields Hardcover English by Robert Kozma - 01 Dec 2015