Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron
We consider a scalar nonlinear differential-difference equation with two delays, which models the behavior of a single neuron. Under some additional suppositions for this equation it is applied a well-known method of quasi-normal forms. Its essence lies in the formal normalization of the Poincare –...
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| Format: | Article |
| Language: | English |
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Yaroslavl State University
2014-10-01
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| Series: | Моделирование и анализ информационных систем |
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| Online Access: | https://www.mais-journal.ru/jour/article/view/83 |
| _version_ | 1797877938153062400 |
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| author | M. M. Preobrazhenskaia |
| author_facet | M. M. Preobrazhenskaia |
| author_sort | M. M. Preobrazhenskaia |
| collection | DOAJ |
| description | We consider a scalar nonlinear differential-difference equation with two delays, which models the behavior of a single neuron. Under some additional suppositions for this equation it is applied a well-known method of quasi-normal forms. Its essence lies in the formal normalization of the Poincare – Dulac, the production of a quasi-normal form and the subsequent application of the conformity theorems. In this case, the result of the application of quasi-normal forms is a countable system of differential-difference equations, which manages to turn into a boundary value problem of the Korteweg – de Vries equation. The investigation of this boundary value problem allows to make the conclusion about the behavior of the original equation. Namely, for a suitable choice of parameters in the framework of this equation it is implemented the buffer phenomenon consisting in the presence of the bifurcation mechanism for the birth of an arbitrarily large number of stable cycles. |
| first_indexed | 2024-04-10T02:24:43Z |
| format | Article |
| id | doaj.art-3d878edd89c143a2b370e608707d66c0 |
| institution | Directory Open Access Journal |
| issn | 1818-1015 2313-5417 |
| language | English |
| last_indexed | 2024-04-10T02:24:43Z |
| publishDate | 2014-10-01 |
| publisher | Yaroslavl State University |
| record_format | Article |
| series | Моделирование и анализ информационных систем |
| spelling | doaj.art-3d878edd89c143a2b370e608707d66c02023-03-13T08:07:32ZengYaroslavl State UniversityМоделирование и анализ информационных систем1818-10152313-54172014-10-01215384810.18255/1818-1015-2014-5-38-4877Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single NeuronM. M. Preobrazhenskaia0Ярославский государственный университет им. П. Г. ДемидоваWe consider a scalar nonlinear differential-difference equation with two delays, which models the behavior of a single neuron. Under some additional suppositions for this equation it is applied a well-known method of quasi-normal forms. Its essence lies in the formal normalization of the Poincare – Dulac, the production of a quasi-normal form and the subsequent application of the conformity theorems. In this case, the result of the application of quasi-normal forms is a countable system of differential-difference equations, which manages to turn into a boundary value problem of the Korteweg – de Vries equation. The investigation of this boundary value problem allows to make the conclusion about the behavior of the original equation. Namely, for a suitable choice of parameters in the framework of this equation it is implemented the buffer phenomenon consisting in the presence of the bifurcation mechanism for the birth of an arbitrarily large number of stable cycles.https://www.mais-journal.ru/jour/article/view/83буферностьдифференциально-разностное уравнениеасимптотикаустойчивостьуравнение кортевега – де фризаквазинормальные формы |
| spellingShingle | M. M. Preobrazhenskaia Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron Моделирование и анализ информационных систем буферность дифференциально-разностное уравнение асимптотика устойчивость уравнение кортевега – де фриза квазинормальные формы |
| title | Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron |
| title_full | Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron |
| title_fullStr | Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron |
| title_full_unstemmed | Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron |
| title_short | Application of the Method of Quasi-Normal Forms to the Mathematical Model of a Single Neuron |
| title_sort | application of the method of quasi normal forms to the mathematical model of a single neuron |
| topic | буферность дифференциально-разностное уравнение асимптотика устойчивость уравнение кортевега – де фриза квазинормальные формы |
| url | https://www.mais-journal.ru/jour/article/view/83 |
| work_keys_str_mv | AT mmpreobrazhenskaia applicationofthemethodofquasinormalformstothemathematicalmodelofasingleneuron |