Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Series in Synergetics (SSSYN)
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About this book
Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to the specialists. The book approaches the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity, synchronization and spatio-temporal pattern formation. Topics also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiological system.
The second edition has been thoroughly updated and augmented by two extensive chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and for self-study, the detailed solutions for all 34 exercises throughout the text have been added.
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Table of contents (15 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Brain Dynamics
Book Subtitle: An Introduction to Models and Simulations
Authors: Hermann Haken
Series Title: Springer Series in Synergetics
DOI: https://doi.org/10.1007/978-3-540-75238-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-75236-3Published: 04 January 2008
Softcover ISBN: 978-3-642-09450-7Published: 23 November 2010
eBook ISBN: 978-3-540-75238-7Published: 22 December 2007
Series ISSN: 0172-7389
Series E-ISSN: 2198-333X
Edition Number: 2
Number of Pages: XIV, 333
Number of Illustrations: 85 b/w illustrations
Topics: Biological and Medical Physics, Biophysics, Medical and Radiation Physics, Complex Systems, Applications of Mathematics, Neurosciences, Artificial Intelligence