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

Format:

Book

Contributor:

De Schutter, Erik.

Series:

Computational neuroscience.

Computational neuroscience series

Language:

English

Subjects (All):

Computational neuroscience.

Neurobiology--Mathematical models.

Neurobiology.

Physical Description:

1 online resource (xii, 419 p.) : ill.

Edition:

1st ed.

Place of Publication:

Cambridge, Mass. : MIT Press, 2009.

Language Note:

English

Summary:

This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.

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.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

OCLC-licensed vendor bibliographic record.

ISBN:

9786612694417

9780262258142

0262258145

9781282694415

1282694413

9780262258722

0262258722

OCLC:

460089791