Modeling excitable tissue : : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes.
This open access volume presents a novel computational framework for understanding how collections of excitable cells work. The key approach in the text is to model excitable tissue by representing the individual cells constituting the tissue. This is in stark contrast to the common approach where h...
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| Superior document: | Reports on Computational Physiology, 7 |
|---|---|
| HerausgeberIn: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2021. |
| Year of Publication: | 2021 |
| Edition: | 1st edition 2021. |
| Language: | English |
| Series: | Reports on Computational Physiology,
7 |
| Physical Description: | 1 online resource (XVII, 100 p. 25 illus. in color.) |
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Table of Contents:
- Derivation of a cell-based mathematical model of excitable cells
- A cell-based model for ionic electrodiffusion in excitable tissue
- Modeling cardiac mechanics on a subcellular scale
- Operator splitting and finite difference schemes for solving the EMI model
- Solving the EMI equations using finite element methods
- Iterative solvers for EMI models
- Improving neural simulations with the EMI model
- Index.