Effects of Higher Order and Long-Range Synchronizations for Classification and Computing in Oscillator-Based Spiking Neural Networks. - Andrey Velichko; Vadim Putrolaynen; Maksim Belyaev (CoRR, 2018)

FPGA-based testing system of NAND-memory multi-chip modules. - Sergey Podryadchikov; Vadim Putrolaynen; Maksim Belyaev; Mikhail Chuvstvin; Igor Tabachnik (Microelectron. J., 2019)

Thermal coupling and effect of subharmonic synchronization in a system of two VO2 based oscillators. - Andrei Velichko; Maksim Belyaev; Vadim Putrolaynen; Valentin Perminov; Alexander Pergament (CoRR, 2020)

Switching dynamics of single and coupled VO2-based oscillators as elements of neural networks. - Andrei Velichko; Maksim Belyaev; Vadim Putrolaynen; Alexander Pergament; Valentin Perminov (CoRR, 2020)

Higher-order and long-range synchronization effects for classification and computing in oscillator-based spiking neural networks. - Andrei Velichko; Vadim Putrolaynen; Maksim Belyaev (Neural Comput. Appl., 2021)

Extraction of Significant Features by Fixed-Weight Layer of Processing Elements for the Development of an Efficient Spiking Neural Network Classifier. - Alexander G. Sboev; Roman B. Rybka; Dmitry Kunitsyn; Alexey Serenko; Vyacheslav Ilyin; Vadim Putrolaynen (Big Data Cogn. Comput., 2023)

A Bio-Inspired Chaos Sensor Based on the Perceptron Neural Network: Concept and Application for Computational Neuro-science. - Andrei Velichko; Petr Boriskov; Maksim Belyaev; Vadim Putrolaynen (CoRR, 2023)

A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science. - Andrei Velichko; Petr Boriskov; Maksim Belyaev; Vadim Putrolaynen (Sensors, 2023)

Entropy-statistical approach to phase-locking detection of pulse oscillations: application for the analysis of biosignal synchronization. - Petr Boriskov; Vadim Putrolaynen; Andrei Velichko; Kristina Peltonen (CoRR, 2024)