КФУ. Карточка публикации. Muscle tone control system based on LIF model neural network

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MUSCLE TONE CONTROL SYSTEM BASED ON LIF MODEL NEURAL NETWORK

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2022

Язык

английский

Авторы, сотрудники КФУ

Балтина Татьяна Валерьевна, автор

Саченков Оскар Александрович, автор

Харин Никита Вячеславович, автор

Авторы, аспиранты КФУ

Харин Никита Вячеславович, автор

Авторы, студенты КФУ

Иванова Анастасия Денисовна, автор

Библиографическое описание на языке оригинала

Ivanova A. Muscle tone control system based on LIF model neural network/A. Ivanova, N. Kharin, T. Baltina and O. Sachenkov. IEEE Xplore: VIII International Conference on Information Technology and Nanotechnology (ITNT), 2022. - P. 1-4, doi: 10.1109/ITNT55410.2022.9848650.

Аннотация

The article describes the solution to the control problem using machine learning. The article presents a model to simulate muscle tone. Based on spiking neural network control system was designed. The task of the neural network was to find a control function to maintain the muscle length. A LIF model of a spiking neural network was used. Excitatory signal was produced by muscle activity. Inhibitor signal was produced by motor neuron activity. Numerical simulations were performed and analyzed. A critical value of synapse weight was found. This value can be understood as a bifurcation parameter of the dynamic system.

Ключевые слова

spiking neural network, control system, mathematical model, artificial neural network

Название журнала

2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022

URL

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137846165&doi=10.1109%2fITNT55410.2022.9848650&partnerID=40&md5=b73e7726b7af2603344b322f2ccdab56

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https://repository.kpfu.ru/?p_id=271201

Файлы ресурса

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Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Балтина Татьяна Валерьевна	ru_RU
dc.contributor.author	Саченков Оскар Александрович	ru_RU
dc.contributor.author	Харин Никита Вячеславович	ru_RU
dc.contributor.author	Иванова Анастасия Денисовна	ru_RU
dc.contributor.author	Харин Никита Вячеславович	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Ivanova A. Muscle tone control system based on LIF model neural network/A. Ivanova, N. Kharin, T. Baltina and O. Sachenkov. IEEE Xplore: VIII International Conference on Information Technology and Nanotechnology (ITNT), 2022. - P. 1-4, doi: 10.1109/ITNT55410.2022.9848650.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=271201	ru_RU
dc.description.abstract	2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022	ru_RU
dc.description.abstract	The article describes the solution to the control problem using machine learning. The article presents a model to simulate muscle tone. Based on spiking neural network control system was designed. The task of the neural network was to find a control function to maintain the muscle length. A LIF model of a spiking neural network was used. Excitatory signal was produced by muscle activity. Inhibitor signal was produced by motor neuron activity. Numerical simulations were performed and analyzed. A critical value of synapse weight was found. This value can be understood as a bifurcation parameter of the dynamic system.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	spiking neural network	ru_RU
dc.subject	control system	ru_RU
dc.subject	mathematical model	ru_RU
dc.subject	artificial neural network	ru_RU
dc.title	Muscle tone control system based on LIF model neural network	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU