Editors:
This book is open access, which means that you have free and unlimited access
Research case studies in computational physiology
A variety of numerical tools for simulating biological systems
Demonstrated tools and methods for modeling excitable tissue
Part of the book series: Simula SpringerBriefs on Computing (SBRIEFSC, volume 12)
Part of the book sub series: Reports on Computational Physiology (RCP)
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Table of contents (8 chapters)
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Front Matter
About this book
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).
Keywords
- Computational Physiology
- Scientific computing
- Open Access
- Electrophysiology
- Pharmacology
- Mechanics
- Machine learning
- Fluid mechanics
- Bioengineering
- Numerical analysis
Editors and Affiliations
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Simula Research Laboratory, Oslo, Norway
Kimberly J. McCabe
Bibliographic Information
Book Title: Computational Physiology
Book Subtitle: Simula Summer School 2021 − Student Reports
Editors: Kimberly J. McCabe
Series Title: Simula SpringerBriefs on Computing
DOI: https://doi.org/10.1007/978-3-031-05164-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
License: CC BY
Softcover ISBN: 978-3-031-05163-0Published: 09 May 2022
eBook ISBN: 978-3-031-05164-7Published: 08 May 2022
Series ISSN: 2512-1677
Series E-ISSN: 2512-1685
Edition Number: 1
Number of Pages: XI, 109
Number of Illustrations: 2 b/w illustrations, 45 illustrations in colour
Topics: Computational Science and Engineering, Mathematical and Computational Biology, Biomedical Engineering and Bioengineering, Computational Mathematics and Numerical Analysis