Computational Modeling Methods for Neuroscientists - Couverture rigide

Couverture rigide

ISBN 10 : 0262013274 ISBN 13 : 9780262013277

Editeur : The MIT Press, 2009

Synopsis

This book offers an introduction to current methods in computational modeling in neuroscience. The book describes realistic modeling methods at levels of complexity ranging from molecular interactions to large neural networks. A how to" book rather than an analytical account it focuses on the presentation of methodological approaches including the selection of the appropriate method and its potential pitfalls. It is intended for experimental neuroscientists and graduate students who have little formal training in mathematical methods but it will also be useful for scientists with theoretical backgrounds who want to start using data-driven modeling methods. The mathematics needed are kept to an introductory level; the first chapter explains the mathematical methods the reader needs to master to understand the rest of the book. The chapters are written by scientists who have successfully integrated data-driven modeling with experimental work so all of the material is accessible to experimentalists. The chapters offer comprehensive coverage with little overlap and extensive cross-references moving from basic building blocks to more complex applications.ContributorsPablo Achard Haroon Anwar Upinder S. Bhalla Michiel Berends Nicolas Brunel Ronald L. Calabrese Brenda Claiborne Hugo Cornelis Erik De Schutter Alain Destexhe Bard Ermentrout Kristen Harris Sean Hill John R. Huguenard William R. Holmes Gwen Jacobs Gwendal LeMasson Henry Markram Reinoud Maex Astrid A. Prinz Imad Riachi John Rinzel Arnd Roth Felix Schurmann Werner Van Geit Mark C. W. van Rossum Stefan Wils"

À propos de cette édition

• Éditeur: The MIT Press
• Date d'édition: 2009
• ISBN 10: 0262013274
• ISBN 13: 9780262013277
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 419
• Éditeur: De Schutter Erik