Computational Modeling Methods for Neuroscientists.
Title:
Computational Modeling Methods for Neuroscientists.
Author:
De Schutter, Erik.
ISBN:
9780262258722
Personal Author:
Physical Description:
1 online resource (433 pages)
Series:
Computational Neuroscience Series
Contents:
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.
Abstract:
A guide to computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Genre:
Electronic Access:
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