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Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes



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Autore: Tveito Aslak Visualizza persona
Titolo: Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes Visualizza cluster
Pubblicazione: Springer Nature, 2021
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Edizione: 1st edition 2021.
Descrizione fisica: 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina: 570.285
Soggetto topico: Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato: 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 engineers
Persona (resp. second.): TveitoAslak <1961->
MardalKent-Andre
RognesMarie E
Nota di contenuto: Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Sommario/riassunto: 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.
Titolo autorizzato: Modeling excitable tissue  Visualizza cluster
ISBN: 3-030-61157-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910424947903321
Lo trovi qui: Univ. Federico II
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Serie: Reports on Computational Physiology, . 2730-7735 ; ; 7