9 citations · 16 across the 5 of their papers we have counts for
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cs.NE2026
General aspects of internal noise in spiking neural networks
I. D. Kolesnikov, D. A. Maksimov, V. M. Moskvitin +1
This study examines the impact of additive and multiplicative noise on both a single leaky integrate-and-fire (LIF) neuron and a trained spiking neural network (SNN). Noise was int…
cs.NE2025★ 2 cited
Internal noise in hardware deep and recurrent neural networks helps with learning
Ivan Kolesnikov, Nadezhda Semenova
Recently, the field of hardware neural networks has been actively developing, where neurons and their connections are not simulated on a computer but are implemented at the physica…
cs.NE2024★ 1 cited
Impact of white Gaussian internal noise on analog echo-state neural networks
Nadezhda Semenova
In recent years, more and more works have appeared devoted to the analog (hardware) implementation of artificial neural networks, in which neurons and the connection between them a…