3 papers
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…
nlin.AO2025
Impact of internal noise on convolutional neural networks
Ivan Kolesnikov, Nadezhda Semenova
In this paper, we investigate the impact of noise on a simplified trained convolutional network. The types of noise studied originate from a real optical implementation of a neural…
cs.NE2025
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…