| Descript |
1 online resource (433 pages) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Computational Neuroscience Ser |
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Computational Neuroscience Ser
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| Note |
Intro -- Contents -- Series Foreword -- Introduction -- 1 Differential Equations -- 2 Parameter Searching -- 3 Reaction-Diffusion Modeling -- 4 Modeling Intracellular Calcium Dynamics -- 5 Modeling Voltage-Dependent Channels -- 6 Modeling Synapses -- 7 Modeling Point Neurons -- 8 Reconstruction of Neuronal Morphology -- 9 An Approach to Capturing Neuron Morphological Diversity -- 10 Passive Cable Modeling -- 11 Modeling Complex Neurons -- 12 Realistic Modeling of Small Neuronal Networks -- 13 Large-Scale Network Simulations in Systems Neuroscience -- Software Appendix -- References -- Contributors -- Index |
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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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Description based on publisher supplied metadata and other sources |
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries |
| Link |
Print version: Calabrese, Ronald L. Computational Modeling Methods for Neuroscientists
Cambridge : MIT Press,c2009 9780262013277
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| Subject |
Computational neuroscience.;Neurobiology -- Mathematical models
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Electronic books
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| Alt Author |
Claiborne, Brenda
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Cornelis, Hugo
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Ermentrout, Bard
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Harris, Kristen
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Holmes, William R
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Huguenard, John R
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Jacobs, Gwen
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Rinzel, John
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Schürmann, Felix
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