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Vyacheslav A. Demin
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2020 – today
- 2023
- [j5]Anna N. Matsukatova
, Nikita V. Prudnikov, Vsevolod A. Kulagin
Combination of Organic-Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification. Adv. Intell. Syst. 5(6) (2023) - [j4]Danila Vlasov
Memristor-based spiking neural network with online reinforcement learning. Neural Networks 166: 512-523 (2023) - 2022
- [j3]Dmitry V. Nekhaev, Vyacheslav A. Demin:
Fine-tuning with local learning rules helps to compress and accelerate spiking neural networks without accuracy loss. Neural Comput. Appl. 34(23): 20687-20700 (2022) - 2021
- [j2]Vyacheslav A. Demin
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network. Neural Networks 134: 64-75 (2021)
2010 – 2019
- 2018
- [j1]Vyacheslav A. Demin, Dmitry V. Nekhaev:
Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity. Frontiers Neuroinformatics 12: 79 (2018) - 2017
- [c1]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
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