Alexey Serenko

According to our database, Alexey Serenko authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., March, 2024

2023

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, September, 2023

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

2022

Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP.

Danila Vlasov, Yury Davydov, Alexey Serenko, Roman B. Rybka, Alexander G. Sboev

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2018

Spiking neural network reinforcement learning method based on temporal coding and STDP.

Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

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

Proceedings of the Postproceedings of the 9th Annual International Conference on Biologically Inspired Cognitive Architectures, 2018

2017

Solving a classification task by spiking neurons with STDP and temporal coding.

Alexander G. Sboev, Danila Vlasov, Roman B. Rybka, Alexey Serenko

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017

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

Proceedings of the 8th Annual International Conference on Biologically Inspired Cognitive Architectures, 2017