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|a Computational modeling methods for neuroscientists /
|c edited by Erik De Schutter.
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|a Cambridge, Mass. :
|b MIT Press,
|c ©2010.
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|a 1 online resource (xii, 419 pages) :
|b illustrations
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|a Computational neuroscience
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|a Includes bibliographical references and index.
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|a 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.
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|a Print version record.
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|a This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Computational neuroscience.
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|a Neurobiology
|x Mathematical models.
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|a Models, Neurological
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|a Neurosciences
|x methods
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|a Neurosciences informatiques.
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|a Neurobiologie
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|a Computational neuroscience.
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|a NEUROSCIENCE/General
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|a De Schutter, Erik.
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|i Print version:
|t Computational modeling methods for neuroscientists.
|d Cambridge, Mass. : MIT Press, ©2010
|z 9780262013277
|z 0262013274
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|a Computational neuroscience.
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