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Author Calabrese, Ronald L
Title Computational Modeling Methods for Neuroscientists
Imprint Cambridge : MIT Press, 2009
©2010
book jacket
Descript 1 online resource (433 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Computational Neuroscience Ser
Computational Neuroscience Ser
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
A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks
Description based on publisher supplied metadata and other sources
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
Subject Computational neuroscience.;Neurobiology -- Mathematical models
Electronic books
Alt Author Claiborne, Brenda
Cornelis, Hugo
Ermentrout, Bard
Harris, Kristen
Holmes, William R
Huguenard, John R
Jacobs, Gwen
Rinzel, John
Schürmann, Felix
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