Hidden Bibliographic Details
| Other authors / contributors: | Freeman, Walter J., author.
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| ISBN: | 9783319244068
331924406X
9783319244044
3319244043
9783319244044
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| Digital file characteristics: | text file PDF
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| Notes: | Includes bibliographical references and index.
English.
Online resource; title from PDF title page (EBSCO, viewed November 4, 2015).
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| Summary: | 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.
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| Other form: | Printed edition: 9783319244044
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| Standard no.: | 10.1007/978-3-319-24406-8
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