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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2019
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/1905.00697 |
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| _version_ | 1866929389175832576 |
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| author | Geiser, Juergen Ogiermann, Dennis |
| author_facet | Geiser, Juergen Ogiermann, Dennis |
| contents | We are motivated to approximate solutions of a Hodgkin-Huxley type model with implicit methods. As a representative we chose a psychiatric disease model containing stable as well as chaotic cycling behaviour. We analyze the bifurcation pattern and show that some implicit methods help to preserve the limit cycles of such systems. Further, we applied adaptive time stepping for the solvers to boost the accuracy, allowing us a preliminary zoom into the chaotic area of the system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1905_00697 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | Iterative Implicit Methods for Solving Hodgkin-Huxley Type Systems Geiser, Juergen Ogiermann, Dennis Numerical Analysis Chaotic Dynamics 35K25, 35K20, 74S10, 70G65 We are motivated to approximate solutions of a Hodgkin-Huxley type model with implicit methods. As a representative we chose a psychiatric disease model containing stable as well as chaotic cycling behaviour. We analyze the bifurcation pattern and show that some implicit methods help to preserve the limit cycles of such systems. Further, we applied adaptive time stepping for the solvers to boost the accuracy, allowing us a preliminary zoom into the chaotic area of the system. |
| title | Iterative Implicit Methods for Solving Hodgkin-Huxley Type Systems |
| topic | Numerical Analysis Chaotic Dynamics 35K25, 35K20, 74S10, 70G65 |
| url | https://arxiv.org/abs/1905.00697 |