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Computational modeling methods for neuroscientists

Author: Erik De Schutter
Publisher: Cambridge, Mass. : MIT Press, 2010.
Series: Computational neuroscience.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks.

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Document Type: Book
All Authors / Contributors: Erik De Schutter
ISBN: 0262013274 9780262013277
OCLC Number: 916393464
Target Audience: Pregrado
Description: xii, 419 p. : il. ; 24 cm
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 ... [et al.] --
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.
Series Title: Computational neuroscience.
Responsibility: edited by Erik De Schutter.

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[S]uccessfully integrated data-driven modeling with experimental work...all of the material is accessible to experimentalists.-Mathematical Reviews Neuroscientists with a computational background Read more...

 
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