Computational Neuroscience: Realistic Modeling for Experimentalists

Erik De Schutter

November 22, 2000 by CRC Press
Reference - 368 Pages
ISBN 9780849320682 - CAT# 2068
Series: Frontiers in Neuroscience

USD$199.95

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Features

  • Covers the most recent developments in simulation technology, transmitter diffusion, and molecular signaling pathways
  • Integrates and cross references material to avoid overlap between chapters
  • Explores new developments at front edge of simulation technology: growth and development, transmitter diffusion, and molecular signaling pathways
  • Avoids theoretical mathematics, opting instead for the basic math used by experimentalists
  • Provides a broad coverage of simulation methods, from molecular dynamics to limb movements
  • Includes color illustrations, photographs, line drawings, graphs, charts, tables, and equations
  • Contains interactive modeling examples on an accompanying CD-ROM
  • Summary

    Designed primarily as an introduction to realistic modeling methods, Computational Neuroscience: Realistic Modeling for Experimentalists focuses on methodological approaches, selecting appropriate methods, and identifying potential pitfalls. The author addresses varying levels of complexity, from molecular interactions within single neurons to the processing of information by neural networks. He avoids theoretical mathematics and provides just enough of the basic math used by experimentalists.

    What makes this resource unique is the inclusion of a CD-ROM that furnishes interactive modeling examples. It contains tutorials and demos, movies and images, and the simulation scripts necessary to run the full simulation described in the chapter examples. Each chapter covers: the theoretical foundation; parameters needed; appropriate software descriptions; evaluation of the model; future directions expected; examples in text boxes linked to the CD-ROM; and references.

    The first book to bring you cutting-edge developments in neuronal modeling. It provides an introduction to realistic modeling methods at levels of complexity varying from molecular interactions to neural networks. The book and CD-ROM combine to make Computational Neuroscience: Realistic Modeling for Experimentalists the complete package for understanding modeling techniques.