Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields / / by Robert Kozma, Walter J. Freeman
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| Autore: |
Kozma Robert
|
| Titolo: |
Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields / / by Robert Kozma, Walter J. Freeman
|
| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Edizione: | 1st ed. 2016. |
| Descrizione fisica: | 1 online resource (267 p.) |
| Disciplina: | 612.8233 |
| Soggetto topico: | Computational intelligence |
| Artificial intelligence | |
| Computational complexity | |
| Cognitive psychology | |
| Computational Intelligence | |
| Artificial Intelligence | |
| Complexity | |
| Cognitive Psychology | |
| Persona (resp. second.): | FreemanWalter J |
| Note generali: | Description based upon print version of record. |
| Nota di bibliografia: | Includes bibliographical references at the end of each chapters and index. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields |
| ISBN: | 9783319244068 |
| 331924406X | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910254202603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Studies in Systems, Decision and Control, . 2198-4182 ; ; 39