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Computational Physiology

Kimberly J. McCabe - Personal Name;

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.


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Detail Information
Series Title
Simula SpringerBriefs on Computing
Call Number
XI, 109
Publisher
Springer Cham : Springer Cham., 2022
Collation
-
Language
English
ISBN/ISSN
978-3-031-05164-7
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
1
Subject(s)
Numerical Analysis
Computational Science
Specific Detail Info
-
Statement of Responsibility
Kimberly J. McCabe
Other Information
Cataloger
-
Source
https://link.springer.com/book/10.1007/978-3-031-05164-7
Validator
Suwardi
Digital Object Identifier (DOI)
-
Journal Volume
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Journal Issue
-
Subtitle
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Parallel Title
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  • Computational Physiology
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