Model of an oscillatory neural network with multilevel neurons for pattern recognition. - Andrey Velichko; Maksim Belyaev; Petr Boriskov (CoRR, 2018)

Switch Elements with S-Shaped Current-Voltage Characteristic in Models of Neural Oscillators. - Petr Boriskov; Andrei Velichko (CoRR, 2019)

Oscillator Circuit for Spike Neural Network with Sigmoid Like Activation Function and Firing Rate Coding. - Andrei Velichko; Petr Boriskov (CoRR, 2019)

Concept of LIF Neuron Circuit for Rate Coding in Spike Neural Networks. - Andrei Velichko; Petr Boriskov (IEEE Trans. Circuits Syst., 2020)

Chaotic LIF Oscillator With Variable Resistance Feedback and Nonlinear Rate Coding. - Petr Boriskov (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Bifurcation and Entropy Analysis of a Chaotic Spike Oscillator Circuit Based on the S-Switch. - Petr Boriskov; Andrei Velichko; Nikolay Shilovsky; Maksim Belyaev (Entropy, 2022)

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)

A Novel Approach for Estimating Positive Lyapunov Exponents in One-Dimensional Chaotic Time Series Using Machine Learning. - Andrey Velichko; Maksim Belyaev; Petr Boriskov (CoRR, 2025)