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Dmitry V. Nekhaev

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2022
[j3]
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  - journals/nca/NekhaevD22
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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]
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Vyacheslav A. Demin, Dmitry V. Nekhaev, Igor A. Surazhevsky, Kristina E. Nikiruy, Andrey V. Emelyanov, Sergey N. Nikolaev, Vladimir V. Rylkov, Mikhail V. Kovalchuk:
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network. Neural Networks 134: 64-75 (2021)
2018
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Vyacheslav A. Demin, Dmitry V. Nekhaev:
Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity. Frontiers Neuroinformatics 12: 79 (2018)

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