Detecting states of ion channels on the cell membrane using neural networks

Detecting states of ion channels on the cell membrane using neural networks

Автор: Tumakov Dmitrii Nikolaevich, Kannunikov Georgy Vladimirovich, Minlebaev Marat Gusmanovich

Журнал: Программные системы: теория и приложения @programmnye-sistemy

Рубрика: Искусственный интеллект, интеллектуальные системы, нейронные сети

Статья в выпуске: 3 (54) т.13, 2022 года.

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The problem of automating the process of analyzing the open states of channels on the membrane of a neuron of a living organism is considered. Taking into account that the registration of the electrical activity of the cell was made by the patch clamp method at various values of the applied potential, a division into intervals with a constant potential is carried out. Further, to eliminate noise, a notch filter, low-frequency and high-frequency Chebyshev filters are applied to the data. A neural network is applied to the normalized data, based on the results of which the data is changed and re-processed by the same neural network. As a result of the algorithm, the dynamics of channel states was obtained, which makes it possible to register up to several open channels simultaneously.

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Neural networks, ion channels, detecting states of channels, living organism

Короткий адрес: https://sciup.org/143179408

IDR: 143179408   |   DOI: 10.25209/2079-3316-2022-13-3-291-305

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