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Alexey Serenko
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2020 – today
- 2024
- [j3]Roman B. Rybka
, Yury Davydov
Comparison of Bagging and Sparcity Methods for Connectivity Reduction in Spiking Neural Networks with Memristive Plasticity. Big Data Cogn. Comput. 8(3): 22 (2024) - 2023
- [j2]Alexander G. Sboev
Extraction of Significant Features by Fixed-Weight Layer of Processing Elements for the Development of an Efficient Spiking Neural Network Classifier. Big Data Cogn. Comput. 7(4): 184 (2023) - [j1]Danila Vlasov
Memristor-based spiking neural network with online reinforcement learning. Neural Networks 166: 512-523 (2023) - 2022
- [c5]Danila Vlasov
Spoken Digits Classification Based on Spiking Neural Networks with Memristor-Based STDP. CSCI 2022: 330-335
2010 – 2019
- 2018
- [c4]Alexander G. Sboev
Spiking neural network reinforcement learning method based on temporal coding and STDP. BICA 2018: 458-463 - [c3]Aleksandr Sboev, Alexey Serenko, Roman B. Rybka, Danila Vlasov
Estimation of the influence of spiking neural network parameters on classification accuracy using a genetic algorithm. BICA 2018: 488-494 - 2017
- [c2]Alexander G. Sboev
To the role of the choice of the neuron model in spiking network learning on base of Spike-Timing-Dependent Plasticity. BICA 2017: 432-439 - [c1]Alexander G. Sboev
Solving a classification task by spiking neurons with STDP and temporal coding. BICA 2017: 494-500
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