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_aKozma, Robert _0Local _997672 |
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_aCognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields _cby Robert Kozma, Walter J Freeman |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 |
_a1 recurso en línea (XXV, 262 páginas) _b57 ilustraciones, 26 ilustraciones en color |
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_aelectrónico _bc _2rdamedia |
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_aStudies in Systems, Decision and Control _x2198-4182 _v39 |
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| 520 | 3 | _aThis 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. | |
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_aConciencia _0comprobar BNE19900997218 _2embne _9139789 |
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_9413165 _aNeurociencia cognitiva _2embne |
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_aFreeman, Walter J. _984602 _0Local |
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_aSpringerLink (Online service) _0Local _9106996 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-24406-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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