Computational Neuroscience: Realistic Modeling for Experimentalists (Frontiers in Neuroscience)

Erik De Schutter, Thomas M. Bartol, G. LeMasson, R. Maex, Upinder S. Bhalla, Gregory D. Smith, Joel R. Stiles, Alain Destexhe, John Huguenard, Dieter Jaeger, Jaap van Pelt, Arjen van Ooyen, Harry B.M. Uylings, Guy Major, Volker Steuber, Ronald L. Calabrese, Stephen D. Van Hooser, Andrew A.V. Hill, Michael E. Hasselmo, Orjan Ekeberg, Robert Cannon, Charles J. Wilson, Ajay Kapur, Sidney A. Simon

ISBN 10: 0849320682 / ISBN 13: 9780849320682

Published by CRC Press 2000-11-22, 2000

About this Item

Seller Inventory # 6666-TNFPD-9780849320682

Bibliographic Details

• Title: Computational Neuroscience: Realistic Modeling for Experimentalists (Frontiers in Neuroscience)
• Publisher: CRC Press 2000-11-22
• Publication Date: 2000
• Language: English
• ISBN 10: 0849320682
• ISBN 13: 9780849320682
• Binding: Hardcover
• Condition: New

About this title

Synopsis

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 downloadable resources that furnish 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 downloadable resources; 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 downloadable resources combine to make Computational Neuroscience: Realistic Modeling for Experimentalists the complete package for understanding modeling techniques.

About the Author

Erik De Schutter