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Record Nr. |
UNINA9910254202603321 |
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Autore |
Kozma Robert |
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Titolo |
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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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (267 p.) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4182 ; ; 39 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Computational complexity |
Cognitive psychology |
Computational Intelligence |
Artificial Intelligence |
Complexity |
Cognitive Psychology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Sommario/riassunto |
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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 |
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