Vyacheslav A. Demin

According to our database, Vyacheslav A. Demin authored at least 6 papers between 2017 and 2023.

Collaborative distances:

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

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

Combination of Organic-Based Reservoir Computing and Spiking Neuromorphic Systems for a Robust and Efficient Pattern Classification.

Anna N. Matsukatova, Nikita V. Prudnikov, Vsevolod A. Kulagin, Silvia Battistoni, Anton A. Minnekhanov, Andrey D. Trofimov, Aleksandr A. Nesmelov, Sergey A. Zavyalov, Yulia N. Malakhova, Matteo Parmeggiani, Alberto Ballesio, Simone Luigi Marasso, Sergey N. Chvalun, Vyacheslav A. Demin, Andrey V. Emelyanov, Victor Erokhin

Adv. Intell. Syst., June, 2023

2022

Fine-tuning with local learning rules helps to compress and accelerate spiking neural networks without accuracy loss.

Dmitry V. Nekhaev, Vyacheslav A. Demin

Neural Comput. Appl., 2022

2021

Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network.

Vyacheslav A. Demin, Dmitry V. Nekhaev, Igor A. Surazhevsky, Kristina E. Nikiruy, Andrey V. Emelyanov, Sergey N. Nikolaev, Vladimir V. Rylkov, Mikhail V. Kovalchuk

Neural Networks, 2021

2018

Recurrent Spiking Neural Network Learning Based on a Competitive Maximization of Neuronal Activity.

Vyacheslav A. Demin, Dmitry V. Nekhaev

Frontiers Neuroinformatics, 2018

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