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: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Reports on Computational Physiology,
7 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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 online resource (XVII, 100 pages 25 illustrations in color.) |
| ISBN: | 9783030611576 |
| ISSN: | 2730-7743 ; |
| DOI: | 10.1007/978-3-030-61157-6 |
| Access: | Open Access |