Overview
- Book describes exiting new research on brain and heart diseases
- Cutting edge computational science methods
- Can be used for teaching at graduate level
- This book is open access, which means that you have free and unlimited access
Part of the book series: Simula SpringerBriefs on Computing (SBRIEFSC, volume 17)
Part of the book sub series: Reports on Computational Physiology (RCP)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Computational Physiology
Book Subtitle: Simula Summer School 2023 − Student Reports
Editors: Kimberly J. McCabe
Series Title: Simula SpringerBriefs on Computing
DOI: https://doi.org/10.1007/978-3-031-53145-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2024
Softcover ISBN: 978-3-031-53144-6Published: 01 March 2024
eBook ISBN: 978-3-031-53145-3Published: 29 February 2024
Series ISSN: 2512-1677
Series E-ISSN: 2512-1685
Edition Number: 1
Number of Pages: XIV, 110
Topics: Computational Mathematics and Numerical Analysis, Neurosciences, Pharmacology/Toxicology, Organic Chemistry