TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-61157-6
DO  - doi
AB  - 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.
T1  - Modeling excitable tissue :the EMI framework /
AU  - Tveito, Aslak,
AU  - Mardal, Kent-Andre,
AU  - Rogers, Marie E.,
VL  - Volume 7
CN  - QP363
ID  - 1430872
KW  - Excitation (Physiology)
KW  - Cell physiology.
KW  - Computational biology.
KW  - Bioinformatics.
KW  - Mathematical models.
KW  - Excitation (Physiologie)
KW  - Cellules
KW  - Bio-informatique.
KW  - Modèles mathématiques.
SN  - 9783030611576
SN  - 3030611574
TI  - Modeling excitable tissue :the EMI framework /
LK  - https://link.springer.com/10.1007/978-3-030-61157-6
UR  - https://link.springer.com/10.1007/978-3-030-61157-6
ER  -