Computational Physiology Simula Summer School 2023 − Student Reports

• Format: eBook
• Language: English
• Published: Cham Springer Nature 2024
• Series: Simula SpringerBriefs on Computing; Reports on Computational Physiology
• Subjects: arrythmia; axon bundles; brain tissue; cerebral aneurysm; computational physiology; fetal ischemia; pancreatic beta cell network; spiking neural networks; thema EDItEUR::M Medicine and Nursing::MK Medical specialties, branches of medicine::MKG Pharmacology; thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis; thema EDItEUR::P Mathematics and Science::PN Chemistry::PNN Organic chemistry; thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (110 p.)
• ISBN: 978-3-031-53145-3; 9783031531446; 9783031531453
• Access: Open Access

This open access volume compiles student reports from the 2023 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 2023, Simula held the nineth 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. This is an open access book.