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            Computational Physiology

            Simula Summer School 2022 − Student Reports

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            Contributor(s)
            McCabe, Kimberly J. (editor)
            Language
            English
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            Abstract
            This open access volume compiles student reports from the 2022 Simula Summer School in Computational Physiology. The reports provide an overview of some tools available to model physiology in excitable tissues across scales and scientific questions. In 2022, Simula held the eighth annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). Each year, the course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. Group research projects conducted by graduate students from around the world result in reports addressing problems of physiological importance. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier studies. Reports from seven of the summer projects are included as separate chapters. The topics represented include multiscale mechanics, electrophysiology, pharmacology, and machine learning.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/166750
            Keywords
            Computational Physiology; Scientific computing; Electrophysiology; Electromechanics; Pharmacology; Cardiac Mechanics; Machine learning; Fluid mechanics; Bioengineering; Numerical analysis; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDE Maths for scientists
            DOI
            10.1007/978-3-031-25374-4
            ISBN
            9783031253744
            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
            109
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • 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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