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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.
Produkteigenschaften
- Artikelnummer: 9783319373522
- Medium: Buch
- ISBN: 978-3-319-37352-2
- Verlag: Springer International Publishing
- Erscheinungstermin: 23.08.2016
- Sprache(n): Englisch
- Auflage: Softcover Nachdruck of the original 1. Auflage 2016
- Serie: Studies in Systems, Decision and Control
- Produktform: Kartoniert, Previously published in hardcover
- Gewicht: 4394 g
- Seiten: 262
- Format (B x H x T): 155 x 235 x 16 mm
- Ausgabetyp: Kein, Unbekannt