Modeling Excitable Tissue The EMI Framework
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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| Other Authors: | , , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
Springer Nature
2021
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| Series: | Simula SpringerBriefs on Computing; Reports on Computational Physiology
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| Subjects: | |
| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| Summary: | 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 homogenization is used to develop models where the cells are not explicitly present. The approach allows for very detailed analysis of small collections of excitable cells, but computational challenges limit the applicability in the presence of large collections of cells. |
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| Physical Description: | 1 electronic resource (100 p.) |
| ISBN: | 978-3-030-61157-6 |
| Access: | Open Access |