To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity. - Alexander G. Sboev; Roman B. Rybka; Alexey Serenko; Danila Vlasov; Nikolay A. Kudryashov; Vyacheslav A. Demin (BICA, 2017)

Solving a classification task by spiking neurons with STDP and temporal coding. - Alexander G. Sboev; Danila Vlasov; Roman B. Rybka; Alexey Serenko (BICA, 2017)

Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. - Aleksandr Sboev; Alexey Serenko; Roman B. Rybka; Danila Vlasov; Andrey Filchenkov (BICA, 2018)

Spiking neural network reinforcement learning method based on temporal coding and STDP. - Alexander G. Sboev; Danila Vlasov; Roman B. Rybka; Alexey Serenko (BICA, 2018)

Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP. - Danila Vlasov; Yury Davydov; Alexey Serenko; Roman B. Rybka; Alexander G. Sboev (CSCI, 2022)

Memristor-based spiking neural network with online reinforcement learning. - Danila Vlasov; Anton A. Minnekhanov; Roman B. Rybka; Yury Davydov; Alexander G. Sboev; Alexey Serenko; Alexander Ilyasov; Vyacheslav A. Demin (Neural Networks, 2023)

Direct Correlational Spike-Timing-Dependent Plasticity Learning Applied to Classification Tasks. - Alexander G. Sboev; Dmitry Kunitsyn; Yury Davydov; Danila Vlasov; Alexey Serenko; Roman B. Rybka; Yuanchao Liu (ICONIP (2), 2024)

Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity. - Roman B. Rybka; Yury Davydov; Danila Vlasov; Alexey Serenko; Alexander G. Sboev; Vyacheslav Ilyin (Big Data Cogn. Comput., 2024)