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            Differential Equations for Studies in Computational Electrophysiology

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            Author(s)
            Horgmo Jæger, Karoline
            Tveito, Aslak
            Language
            English
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            Abstract
            This open access text aims at giving you the simplest possible introduction to differential equations that are used in models of electrophysiology. It covers models at several spatial and temporal scales with associated numerical methods. The text demonstrates that a very limited number of fundamental techniques can be used to define numerical methods for equations ranging from ridiculously simple to extremely complex systems of partial differential equations. Every method is implemented in Matlab and the codes are freely available online. By using these codes, the reader becomes familiar with classical models of electrophysiology, like the cable equation, the monodomain model, and the bidomain model. But modern models that have just started to gain attention in the field of computational electrophysiology are also presented. If you just want to read one book, it should probably not be this one, but if you want a simple introduction to a complex field, it is worth considering the present text.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/174086
            Keywords
            Action potential; Cardiomyocytes; Differential equations; numerical methods; software; computational physiology; computational electrophysiology; Cable equation; bidomain; cell-based models; thema EDItEUR::P Mathematics and Science::PB Mathematics; thema EDItEUR::U Computing and Information Technology::UY Computer science; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues; thema EDItEUR::P Mathematics and Science::PH Physics::PHV Applied physics::PHVN Biophysics
            DOI
            10.1007/978-3-031-30852-9
            ISBN
            9783031308529, 9783031308512
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2023
            Imprint
            Springer Nature Switzerland
            Series
            Simula SpringerBriefs on Computing; Reports on Computational Physiology,
            Pages
            128
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            Credits


            • logo Investir l'avenirInvestir l'avenir
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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