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Computational Modeling Methods for Neuroscientists.

By: Contributor(s): Material type: TextTextSeries: Computational Neuroscience SeriesPublisher: Cambridge : MIT Press, 2009Copyright date: ©2010Edition: 1st edDescription: 1 online resource (432 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780262258722
Subject(s): Genre/Form: Additional physical formats: Print version:: Computational Modeling Methods for NeuroscientistsDDC classification:
  • 612.8
LOC classification:
  • QP357.5
Online resources:
Contents:
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.
Summary: 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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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, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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