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Table of contents (14 chapters)
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Front Matter
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Neurophysiology
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Front Matter
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Cognition and Higher Perception
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Front Matter
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Keywords
About this book
Computational Neurosciences is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g. from linguistics and medicine, seem to be able to expand the limits of our knowledge.
The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory coupling and the plasticity of the network. The computational implementation on supercomputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research. Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortical connections of a cat's brain, supported with data from experimental studies.
This book is particularly suited for graduate students and nonspecialists from related fields with a general science background, looking for a substantial but “hands-on” introduction to the subject matter.
Editors and Affiliations
Bibliographic Information
Book Title: Lectures in Supercomputational Neuroscience
Book Subtitle: Dynamics in Complex Brain Networks
Editors: Peter beim Graben, Changsong Zhou, Marco Thiel, Jürgen Kurths
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-540-73159-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-73158-0Published: 12 December 2007
Softcover ISBN: 978-3-642-09216-9Published: 30 November 2010
eBook ISBN: 978-3-540-73159-7Published: 19 October 2007
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: X, 377
Topics: Biological and Medical Physics, Biophysics, Complex Systems, Artificial Intelligence, Neurosciences, Numerical and Computational Physics, Simulation, Statistical Physics and Dynamical Systems