A. Serenko

Solving a classification task by spiking neural network with STDP based on rate and temporal input encoding

A. Sboev, R. Rybka, A. Serenko, 2020, Mathematical Methods in the Applied Sciences.

A spiking neural network with fixed synaptic weights based on logistic maps for a classification task

A. Sboev, R. Rybka, A. Serenko, 2022, Proceedings of The 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022).

A comparison of learning abilities of spiking networks with different spike timing-dependent plasticity forms

Alexander Sboev, Roman Rybka, Alexey Serenko, 2016 .

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

Alexander Sboev, Roman Rybka, Alexey Serenko, 2017, BICA.

Self-adaptive STDP-based learning of a spiking neuron with nanocomposite memristive weights

V. A. Demin, V. Rylkov, M. V. Kovalchuk, 2019, Nanotechnology.

STDP-Based Classificational Spiking Neural Networks Combining Rate and Temporal Coding

Alexey Serenko, Danila Vlasov, Aleksandr Sboev, 2020 .

Ensembling SNNs with STDP Learning on Base of Rate Stabilization for Image Classification

Alexander Sboev, Alexey Serenko, Danila Vlasov, 2020 .

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

Alexander Sboev, Roman Rybka, Alexey Serenko, 2018, BICA.

Influence of input encoding on solving a classification task by spiking neural network with STDP

Roman Rybka, Alexey Serenko, Danila Vlasov, 2019, CENTRAL EUROPEAN SYMPOSIUM ON THERMOPHYSICS 2019 (CEST).

Solving a classification task with temporal input encoding by a spiking neural network with memristor-type plasticity in the form of hyperbolic tangent

A. Sboev, R. Rybka, A. Serenko, 2023, AIP Conference Proceedings.

A Non-fully-Connected Spiking Neural Network with STDP for Solving a Classification Task

Alexander Sboev, Roman Rybka, Alexey Serenko, 2020 .