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    Modeling Excitable Tissue

    The EMI Framework

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    Contributor(s)
    Tveito, Aslak (editor)
    Mardal, Kent-Andre (editor)
    Rognes, Marie E. (editor)
    Language
    English
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    Abstract
    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.
    URI
    https://library.oapen.org/handle/20.500.12657/42934
    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 engineers
    DOI
    10.1007/978-3-030-61157-6
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2021
    Imprint
    Springer International Publishing
    Series
    Simula SpringerBriefs on Computing; Reports on Computational Physiology, 7
    Classification
    Maths for scientists
    Applied mathematics
    Mathematical modelling
    Pages
    100
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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