This is the 12th volume in the Simula SpringerBriefs series and compiles student reports from the 2021 Simula Summer School, which together provide a number of modern approaches to modeling excitable tissue.
The Simula SpringerBriefs on Computing aims to provide introductions to select areas of research in computing. Each volume aims to provide an introduction to, and overview over, research fields that can otherwise be inaccessible. This is the 12th volume in this series.
Computational Physiology: Simula Summer School 2021 − Student Reports edited by Kimberly J. McCabe is now available for download. This open access volume compiles student reports from the 2021 Simula Summer School in Computational Physiology. Interested readers will find herein a number of modern approaches to modeling excitable tissue. This should provide a framework for tools available to model subcellular and tissue-level physiology across scales and scientific questions.
In June through August of 2021, Simula held the seventh annual Summer School in Computational Physiology in collaboration with the University of Oslo (UiO) and the University of California, San Diego (UCSD). The course focuses on modeling excitable tissues, with a special interest in cardiac physiology and neuroscience. The majority of the school consists of group research projects conducted by Masters and PhD students from around the world, and advised by scientists at Simula, UiO and UCSD. Each group then produced a report that addreses a specific problem of importance in physiology and presents a succinct summary of the findings. Reports may not necessarily represent new scientific results; rather, they can reproduce or supplement earlier computational studies or experimental findings.
Reports from eight of the summer projects are included as separate chapters. The fields represented include cardiac geometry definition (Chapter 1), electrophysiology and pharmacology (Chapters 2–5), fluid mechanics in blood vessels (Chapter 6), cardiac calcium handling and mechanics (Chapter 7), and machine learning in cardiac electrophysiology (Chapter 8).
Computational Physiology: Simula Summer School 2021 − Student Reports is now available for download. As with all the Simula SpringerBriefs on Computing, this volume is open access under a CC BY 4.0 license and was published by SpringerOpen.
About the editor
Kimberly J. McCabe is a Research Scientist at Simula Research Laboratory and the program director for SUURPh (the Simula UiO UCSD Research and PhD training program), the program that organizes the Simula Summer School. Her current research is focused on subcellular modeling of cardiac mechanics and calcium handling, which she conducts primarily in collaboration with partners at the University of California, San Diego.