Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
Autor: | Freeman, Walter J. Kozma, Robert |
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EAN: | 9783319244044 |
Auflage: | 001 |
Sachgruppe: | Technik |
Sprache: | Englisch |
Seitenzahl: | 288 |
Produktart: | Gebunden |
Veröffentlichungsdatum: | 06.11.2015 |
Schlagworte: | Intelligenz / Künstliche Intelligenz KI Komplex - Komplexität Künstliche Intelligenz - AI |
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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.