Understanding Complex Systems

Lectures in Supercomputational Neuroscience

Dynamics in Complex Brain Networks

Editors: Graben, P., Zhou, C., Thiel, M., Kurths, J. (Eds.)

  • Introduces computational neuroscience with in-depth contributions by leading system neuroscientists
  • Sets forth a conceptual model for complex networks of neurons that incorporates many important features of the brain
  • Enables you to modify and adapt the algorithm for your own research
  • Presents worked out examples of applications
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eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-73159-7
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  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-540-73158-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-09216-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Computational Neuroscience 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.

Table of contents (14 chapters)

  • Foundations of Neurophysics

    Graben, Peter beim

    Pages 3-48

  • Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals

    Abarbanel, Henry D.I. (et al.)

    Pages 49-74

  • Structural Characterization of Networks Using the Cat Cortex as an Example

    Zamora-López, Gorka (et al.)

    Pages 77-106

  • Organization and Function of Complex Cortical Networks

    Hilgetag, Claus C. (et al.)

    Pages 107-133

  • Synchronization Dynamics in Complex Networks

    Zhou, Changsong (et al.)

    Pages 135-175

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-540-73159-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-3-540-73158-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $139.00
price for USA
valid through November 5, 2017
  • ISBN 978-3-642-09216-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Lectures in Supercomputational Neuroscience
Book Subtitle
Dynamics in Complex Brain Networks
Editors
  • Peter Graben
  • Changsong Zhou
  • Marco Thiel
  • Jürgen Kurths
Series Title
Understanding Complex Systems
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-73159-7
DOI
10.1007/978-3-540-73159-7
Hardcover ISBN
978-3-540-73158-0
Softcover ISBN
978-3-642-09216-9
Series ISSN
1860-0832
Edition Number
1
Number of Pages
X, 377
Topics