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Bestseller
BestsellerE-book

Title Computational modeling methods for neuroscientists / edited by Erik De Schutter.

Publication Info. Cambridge, Mass. : MIT Press, [2010]
©2010

Item Status

Description 1 online resource (xii, 419 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Computational neuroscience
Computational neuroscience.
Bibliography Includes bibliographical references and index.
Contents Differential equations / Bard Ermentrout and John Rinzel -- Parameter searching / Pablo Achard, Werner Van Geit, and Gwendal LeMasson -- Reaction-diffusion modeling / Upinder S. Bhalla and Stefan Wils -- Modeling intracellular calcium dynamics / Erik De Schutter -- Modeling voltage-dependent channels / Alain Destexhe and John R. Huguenard -- Modeling synapses / Arnd Roth and Mark C.W. van Rossum -- Modeling point neurons : from Hodgkin-Huxley to integrate-and-fire / Nicolas Brunel -- Reconstruction of neuronal morphology / Gwen Jacobs, Brenda Claiborne, and Kristen Harris -- An approach to capturing neuron morphological diversity / Haroon Anwar [and others] -- Passive cable modeling / William R. Holmes -- Modeling complex neurons / Erik De Schutter and Werner Van Geit -- Realistic modeling of small neuronal networks / Ronald L. Calabrese and Astrid A. Prinz -- Large-scale network simulations in systems neuroscience / Reinoud Maex, Michiel Berends, and Hugo Cornelis.
Summary This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Computational neuroscience.
Computational neuroscience.
Neurobiology -- Mathematical models.
Neurobiology.
Mathematical models.
Models, Neurological.
Neurosciences -- methods.
Genre/Form Electronic books.
Added Author De Schutter, Erik.
Other Form: Print version: Computational modeling methods for neuroscientists. Cambridge, Mass. : MIT Press, ©2010 9780262013277 0262013274 (DLC) 2009006125 (OCoLC)310075964
ISBN 9780262258722 (electronic book)
0262258722 (electronic book)
1282694413
9781282694415
9780262013277 (hardcover ; alkaline paper)