UID:
edocfu_9959234283702883
Format:
1 online resource (xii, 419 p.) :
,
ill.
Edition:
1st ed.
ISBN:
0-262-25814-5
,
1-282-69441-3
,
9786612694417
,
0-262-25872-2
Series Statement:
Computational neuroscience series
Content:
This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.
Note:
Bibliographic Level Mode of Issuance: Monograph
,
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.
,
English
Additional Edition:
ISBN 0-262-01327-4
Language:
English
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