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
