TY  - GEN
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.
AU  - Tveito, Aslak,
AU  - Mardal, Kent-Andre,
AU  - Rogers, Marie E.,
CN  - QP363
DO  - 10.1007/978-3-030-61157-6
DO  - doi
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.
LK  - https://link.springer.com/10.1007/978-3-030-61157-6
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.
SN  - 9783030611576
SN  - 3030611574
T1  - Modeling excitable tissue :the EMI framework /
TI  - Modeling excitable tissue :the EMI framework /
UR  - https://link.springer.com/10.1007/978-3-030-61157-6
VL  - Volume 7
ER  -