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, 39 2198-4190 ; . - Studies in Systems, Decision and Control, 39 .

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.

9783319244068

10.1007/978-3-319-24406-8 doi


Computational intelligence.
Artificial intelligence.
Dynamics.
Nonlinear theories.
Cognitive psychology.
Computational Intelligence.
Artificial Intelligence.
Applied Dynamical Systems.
Cognitive Psychology.

Q342

006.3