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Computational Electrophysiology
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 book provides a practical...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Tokyo :
Springer Japan : Imprint: Springer,
2010.
|
| Edición: | 1st ed. 2010. |
| Colección: | A First Course in "In Silico Medicine" ;
2 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-4-431-53862-2 | ||
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| 008 | 100319s2010 ja | s |||| 0|eng d | ||
| 020 | |a 9784431538622 |9 978-4-431-53862-2 | ||
| 024 | 7 | |a 10.1007/978-4-431-53862-2 |2 doi | |
| 050 | 4 | |a R856-857 | |
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| 100 | 1 | |a Doi, Shinji. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Computational Electrophysiology |h [electronic resource] / |c by Shinji Doi, Junko Inoue, Zhenxing Pan, Kunichika Tsumoto. |
| 250 | |a 1st ed. 2010. | ||
| 264 | 1 | |a Tokyo : |b Springer Japan : |b Imprint: Springer, |c 2010. | |
| 300 | |a 140 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a A First Course in "In Silico Medicine" ; |v 2 | |
| 505 | 0 | |a A Very Short Trip on Dynamical Systems -- The Hodgkin-Huxley Theory of Neuronal Excitation -- Computational and Mathematical Models of Neurons -- Whole System Analysis of Hodgkin-Huxley Systems -- Hodgkin-Huxley-Type Models of Cardiac Muscle Cells. | |
| 520 | |a 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 book 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. | ||
| 650 | 0 | |a Biomedical engineering. | |
| 650 | 0 | |a Medicine-Research. | |
| 650 | 0 | |a Biology-Research. | |
| 650 | 0 | |a Medicinal chemistry. | |
| 650 | 1 | 4 | |a Biomedical Engineering and Bioengineering. |
| 650 | 2 | 4 | |a Biomedical Research. |
| 650 | 2 | 4 | |a Medicinal Chemistry. |
| 700 | 1 | |a Inoue, Junko. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Pan, Zhenxing. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Tsumoto, Kunichika. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9784431538639 |
| 776 | 0 | 8 | |i Printed edition: |z 9784431538615 |
| 830 | 0 | |a A First Course in "In Silico Medicine" ; |v 2 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-4-431-53862-2 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||