most citedImpact of internal noise on convolutional neural networks

4 citations · 6 across the 3 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…