Show Summary Details
- Title Pages
- 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: From Hodgkin-Huxley to Integrate-and-Fire -
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
(p.405) Contributors
(p.405) Contributors
- Source:
- Computational Modeling Methods for Neuroscientists
- Publisher:
- The MIT Press
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- Title Pages
- 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: From Hodgkin-Huxley to Integrate-and-Fire -
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
