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).
