Computational electrophysiology : dynamical systems and bifurcations
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...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Tokyo :
Springer Japan : Imprint: Springer
[20..].
Cham : Springer Nature |
| シリーズ: | A First Course in In Silico Medicine
2 |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational Electrophysiology, Texte imprimé, 9784431538639 • Computational Electrophysiology, Texte imprimé, 9784431538615 |
| LEADER | 03247nam a22003617a 4500 | ||
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| 082 | |a 610.28 | ||
| 100 | 1 | |a Doi, Shinji. | |
| 245 | 1 | 0 | |a Computational electrophysiology : |b dynamical systems and bifurcations |c by Shinji Doi, Junko Inoue, Zhenxing Pan, Kunichika Tsumoto. |
| 260 | |a Tokyo : |b Springer Japan : |b Imprint: Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a A First Course in In Silico Medicine |v 2 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 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. | ||
| 700 | 1 | |a Inoue, Junko. |4 aut | |
| 700 | 1 | |a Tsumoto, Kunichika. |4 aut | |
| 700 | 1 | |a Pan, Zhenxing. |4 aut | |
| 776 | 0 | |t Computational Electrophysiology |b Texte imprimé |z 9784431538639 | |
| 776 | 0 | |t Computational Electrophysiology |b Texte imprimé |z 9784431538615 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-KHD8ZPFZ-R |z Accès sur la plateforme Istex | |
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