Computational modeling methods for neuroscientists / edited by Erik De Schutter.
Saved in:
Other Authors: | |
---|---|
Format: | Book |
Language: | English |
Published: |
Cambridge, Mass. :
MIT Press,
©2010.
|
Series: | Computational neuroscience.
|
Subjects: |
Table of Contents:
- Differential equations / Bard Ermentrout and John Rinzel
- Parameter searching / Pablo Achard, Werner Van Geit, and Gwendal LeMasson
- Reaction-diffusion modeling / Upinder S. Bhalla and Stefan Wils
- Modeling intracellular calcium dynamics / Erik De Schutter
- Modeling voltage-dependent channels / Alain Destexhe and John R. Huguenard
- Modeling synapses / Arnd Roth and Mark C.W. van Rossum
- Modeling point neurons : from Hodgkin-Huxley to integrate-and-fire / Nicolas Brunel
- Reconstruction of neuronal morphology / Gwen Jacobs, Brenda Claiborne, and Kristen Harris
- An approach to capturing neuron morphological diversity / Haroon Anwar ... [et al.]
- Passive cable modeling / William R. Holmes
- Modeling complex neurons / Erik De Schutter and Werner Van Geit
- Realistic modeling of small neuronal networks / Ronald L. Calabrese and Astrid A. Prinz
- Large-scale network simulations in systems neuroscience / Reinoud Maex, Michiel Berends, and Hugo Cornelis.