Computational Modeling Methods for Neuroscientists [Computational Neuroscience] [MIT Press,2009] [Hardcover]

by Erik De Schutter

This book offers an introduction to current methods in computationalmodeling in neuroscience. The book describes realistic modeling methods at levels ofcomplexity ranging from molecular interactions to large neural networks. A "howto" book rather than an analytical account, it focuses on the presentation ofmethodological approaches, including the selection of the appropriate method and itspotential pitfalls. It is intended for experimental neuroscientists and graduatestudents who have little formal training in mathematical methods, but it will alsobe useful for scientists with theoretical backgrounds who want to start usingdata-driven modeling methods. The mathematics needed are kept to an introductorylevel; the first chapter explains the mathematical methods the reader needs tomaster to understand the rest of the book. The chapters are written by scientistswho have successfully integrated data-driven modeling with experimental work, so allof the material is accessible to experimentalists. The chapters offer comprehensivecoverage with little overlap and extensive cross-references, moving from basicbuilding blocks to more complex applications.ContributorsPablo Achard, Haroon Anwar, Upinder S. Bhalla, Michiel Berends, Nicolas Brunel, Ronald L. Calabrese, BrendaClaiborne, Hugo Cornelis, Erik De Schutter, Alain Destexhe, Bard Ermentrout, KristenHarris, Sean Hill, John R. Huguenard, William R. Holmes, Gwen Jacobs, GwendalLeMasson, Henry Markram, Reinoud Maex, Astrid A. Prinz, Imad Riachi, John Rinzel, Arnd Roth, Felix Sch?rmann, Werner Van Geit, Mark C. W. van Rossum, StefanWils

Genres: Neuroscience

Unknown Binding

First published January 1, 2009

About the author

Erik De Schutter is Principal Investigator and Head of the Computational Neuroscience Unit at the Okinawa Institute of Science and Technology, Japan, and Head of the Theoretical Neurobiology Laboratory in the Department of Biomedical Sciences at the University of Antwerp, Belgium.

Reviews

[Yates Buckley · Rating 3 out of 5]

Classic text on computational modelling of neuronal circuits but not very accessible.