Modeling Excitable Tissue
The EMI Framework
Contributor(s)
Tveito, Aslak (editor)
Mardal, Kent-Andre (editor)
Rognes, Marie E. (editor)
Language
EnglishAbstract
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.
Keywords
Mathematical and Computational Biology; Applications of Mathematics; Mathematical Modeling and Industrial Mathematics; applied mathematics; scientific computing; computational physiology; finite element methods; cardiac modelling; biomechanics; numerical methods; preconditioning; open access; Maths for scientists; Mathematical modelling; Maths for engineersDOI
10.1007/978-3-030-61157-6Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
2021Imprint
Springer International PublishingSeries
Simula SpringerBriefs on Computing; Reports on Computational Physiology, 7Classification
Maths for scientists
Applied mathematics
Mathematical modelling