Kozma, Robert. <br/><br/>
Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields  [electronic resource] / 
by Robert Kozma, Walter J. Freeman. 
 - XXV, 262 p.  online resource. 
 - Studies in Systems, Decision and Control,  39  2198-4182 ; .
 - Studies in Systems, Decision and Control,  39 .
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319244068 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-24406-8  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Engineering.<br/>Artificial intelligence.<br/>Computational intelligence.<br/>Complexity, Computational.<br/>Cognitive psychology.<br/>Engineering.<br/>Computational Intelligence.<br/>Artificial Intelligence (incl. Robotics).<br/>Complexity.<br/>Cognitive Psychology.
<br/><br/><label>LC Class. No.: </label>Q342 
<br/><br/><label>Dewey Class. No.: </label>006.3