9 citations · 16 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Impact of white noise in artificial neural networks trained for classification: performance and noise mitigation strategies
Nadezhda Semenova, Daniel Brunner
In recent years, the hardware implementation of neural networks, leveraging physical coupling and analog neurons has substantially increased in relevance. Such nonlinear and comple…
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…