Search Results for author: Vadim Putrolaynen

Found 5 papers, 0 papers with code

A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science

no code implementations3 Jun 2023 Andrei Velichko, Petr Boriskov, Maksim Belyaev, Vadim Putrolaynen

The study presents a bio-inspired chaos sensor model based on the perceptron neural network for the estimation of entropy of spike train in neurodynamic systems.

Time Series

Electrical switching and oscillations in vanadium dioxide

no code implementations7 Jan 2020 Alexander Pergament, Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen

With a decrease in dimensions, a decrease in the thermal coupling action radius is observed, which can vary in the range from 0. 5 to 50 {\mu}m for structures with characteristic dimensions of 0. 1 to 5 {\mu}m, respectively.

Applied Physics Disordered Systems and Neural Networks

Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks

no code implementations7 Jan 2020 Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Alexander Pergament, Valentin Perminov

In the present paper, we report on the switching dynamics of both single and coupled VO2-based oscillators, with resistive and capacitive coupling, and explore the capability of their application in oscillatory neural networks.

Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators

no code implementations6 Jan 2020 Andrei Velichko, Maksim Belyaev, Vadim Putrolaynen, Valentin Perminov, Alexander Pergament

In the case of a "weak" coupling, synchronization is accompanied by attraction effect and decrease of the main spectra harmonics width.

Total Energy

Higher Order and Long-Range Synchronization Effects for Classification and Computing in Oscillator-Based Spiking Neural Networks

no code implementations10 Apr 2018 Andrei Velichko, Vadim Putrolaynen, Maksim Belyaev

In the circuit of two thermally coupled VO2 oscillators, we studied a higher order synchronization effect, which can be used in object classification techniques to increase the number of possible synchronous states of the oscillator system.

General Classification

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