Authors:
- This monograph provides a practical and quick guide to both the computational electrophysiology and the practical numerical bifurcation analysis.
- This book is unique in that many mathematical models with different abstraction levels from neuroscience and electrophysiology, and also many examples of numerical bifurcation analysis on the models are included.
- Includes supplementary material: sn.pub/extras
Part of the book series: A First Course in “In Silico Medicine” (FCISM, volume 2)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Biological systems inherently possess much ambiguity or uncertainty. Computational electrophysiology is the one area, from among the vast and rapidly growing discipline of computational and systems biology, in which computational or mathematical models have succeeded. This textbook provides a practical and quick guide to both computational electrophysiology and numerical bifurcation analysis. Bifurcation analysis is a very powerful tool for the analysis of such highly nonlinear biological systems. Bifurcation theory provides a way to analyze the effect of a parameter change on a system and to detect a critical parameter value when the qualitative nature of the system changes. Included in this work are many examples of numerical computations of bifurcation analysis of various models as well as mathematical models with different abstraction levels from neuroscience and electrophysiology. This volume will benefit graduate and undergraduate students as well as researchers in diverse fields of science.
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They will also potentially change the future of knowledge-intensive industries. We hope that our global COE project and its integration with other activities of MEI Center will eventually lead to promotion of advanced medical and welfare society.
Authors and Affiliations
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Graduate School of Engineering, Kyoto University, Kyoto-Daigaku Katsura, Nishikyo-ku, Japan
Shinji Doi
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Faculty of Human Science, Kyoto Koka Women’s University, Japan
Junko Inoue
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Graduate School of Engineering, Osaka University, Japan
Zhenxing Pan, Kunichika Tsumoto
Bibliographic Information
Book Title: Computational Electrophysiology
Authors: Shinji Doi, Junko Inoue, Zhenxing Pan, Kunichika Tsumoto
Series Title: A First Course in “In Silico Medicine”
DOI: https://doi.org/10.1007/978-4-431-53862-2
Publisher: Springer Tokyo
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Tokyo 2010
Softcover ISBN: 978-4-431-53861-5Published: 30 March 2010
eBook ISBN: 978-4-431-53862-2Published: 10 March 2010
Edition Number: 1
Number of Pages: 140
Topics: Biomedical Engineering and Bioengineering, Molecular Medicine, Biomedicine general, Medicinal Chemistry