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Journal of Radio Electronics Online scientific journal · eISSN 1684-1719
2024, № 4 · NONLINEAR WAVE DYNAMICS IN RADIO ELECTRONICS

Synchronization of memristive neuronal oscillators

I.M. Kipelkin1,2, S.A. Gerasimova1, A.I. Belov1, A.N. Mikhailov1,2, V.A. Smirnov2, V.B. Kazantsev1,2

1 National Research State University of Nizhny Novgorod, Nizhnii Novgorod, Russia
2 Southern Federal University, Taganrog
Full text DOI: 10.30898/1684-1719.2024.4.2 UDC 53.097 EDN HCHVSW

Abstract

The article discusses a memristive neuromorphic system consisting of two analog memristive neurons, FitzHugh-Nagumo, connected through a memristive device Au/Zr/SiO2/TiN/Ti/SiO2/Si. Such a system, on one hand, imitates the biologically plausible dynamics of ion channels in neurons, and on the other hand, the interneuronal synaptic connections. It has been established that the memristive device, under the influence of a signal from the presynaptic electrical neuron, exhibits synaptic plasticity. Experimental results have shown forced synchronization modes with frequency ratios of 1:1, 2:1, N:1. The developed system effectively reproduces the dynamics of synaptic connections in neural networks of the brain. From an applied point of view, due to the adaptive properties of the memristor, it can be used for the development of neurosensory devices.

  • memristor
  • neuron
  • synapse
  • synchronization
  • neuromorphic system
Аннотация (на русском)

Синхронизация мемристивных нейропободных генераторов

В статье рассматривается мемристивная нейроморфная система, состоящая из двух аналоговых мемристивных нейронов Фитцхью-Нагумо, соединенных через мемристивное устройство Au/Zr/SiO2/TiN/Ti/SiO2/Si. Такая система, с одной стороны, имитирует биологоправдоподобную динамику ионных каналов нейронов, с другой - межнейронные синаптические соединения. Установлено, что мемристивное устройство, под действием сигнала пресинаптического электрического нейрона обладает свойством синаптической пластичности. Экспериментально получены режимы вынужденной синхронизации с соотношением частот 1:1, 2:1, N:1. Разработанная система достаточно хорошо воспроизводит динамику синаптической связи в нейронных сетях мозга. С прикладной точки зрения, за счет адаптивных свойств мемристора она может быть использована для разработки нейросенсорных устройств.

For citation

Kipelkin I.M., Gerasimova S.A., Belov A.I., Mikhailov A.N., Smirnov V.A., Kazantsev V.B. Synchronization of memristive neuronal oscillators // Journal of Radio Electronics. – 2024. – No. 4. https://doi.org/10.30898/1684-1719.2024.4.2

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