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Computational Electrophysiology

  • Textbook
  • © 2010

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Authors:
  1. Shinji Doi

    1. Graduate School of Engineering, Kyoto University, Kyoto-Daigaku Katsura, Nishikyo-ku, Japan

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  2. Junko Inoue

    1. Faculty of Human Science, Kyoto Koka Women’s University, Japan

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  3. Zhenxing Pan

    1. Graduate School of Engineering, Osaka University, Japan

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  4. Kunichika Tsumoto

    1. Graduate School of Engineering, Osaka University, Japan

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  • 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)

  1. Front Matter

    Pages i-viii
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  2. A Very Short Trip on Dynamical Systems

    • Shinji Doi, Junko Inoue, Zhenxing Pan
    Pages 1-35

  3. The Hodgkin–Huxley Theory of Neuronal Excitation

    • Shinji Doi, Junko Inoue, Zhenxing Pan
    Pages 37-54

  4. Computational and Mathematical Models of Neurons

    • Shinji Doi, Junko Inoue, Zhenxing Pan
    Pages 55-98

  5. Whole System Analysis of Hodgkin–Huxley Systems

    • Shinji Doi, Junko Inoue, Zhenxing Pan
    Pages 99-117

  6. Hodgkin–Huxley-Type Models of Cardiac Muscle Cells

    • Shinji Doi, Junko Inoue, Zhenxing Pan
    Pages 119-141

  7. Back Matter

    Pages 143-153
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Keywords

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.

Reviews

Promoting thorough and advanced medical and welfare society is one of the priorities for the Japanese administration. The underlying challenge to this issue, in terms of academic missions, is to develop a new, integrated scientific discipline in the fields of medicine, engineering and informatics, as well as developing relevant human resources, to the level that it satisfies today's social needs. The Center for Advanced Medical Engineering and Informatics (MEI Center) at Osaka University has been established in order to develop innovative educational programs for graduate students including master and PhD courses, as well as developing re-educational programs for working people. These programs are made possible by coordinated supports from the departments across Osaka University and from other educational and research institutes in the local Osaka-Kansai area, in the country, and throughout the world. Through these efforts, we are trying to establish a seamless educational system for engineers and clinicians who play a key role as leaders in relevant fields, based on advanced knowledge in engineering, informatics, medicine, and clinical practices, and also on understanding of multiple aspect of related matters at hand, including social, medical, and patients' needs. The global COE program for "in silico medicine-oriented worldwide open platform" has now launched in 2007. The global COE is a program built on the foundation of practical educational programs for advanced PhD courses developed by MEI Center. It aims to promote the level of education and research programs particularly focused on "physiome and systems biology". The development of physiome and systems biology will change conventional medicine which has been based on experience and expectation into "predictive medicine." The predictive medicine will have the capability to predict the results of certain medical treatment based upon the understanding of dynamic mechanisms and quantitative logic of human physiology and pathology.Predictive medicine will have significant impacts on the promotion of health and welfare. In addition, "in silico" development and testing of new medical treatments and medical equipments will have direct impacts on the improvement of product reliability and safety while improving the efficiency and reducing the cost.
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

  • Graduate School of Engineering, Kyoto University, Kyoto-Daigaku Katsura, Nishikyo-ku, Japan

    Shinji Doi

  • Faculty of Human Science, Kyoto Koka Women’s University, Japan

    Junko Inoue

  • Graduate School of Engineering, Osaka University, Japan

    Zhenxing Pan, Kunichika Tsumoto

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