1 citations · 1 across the 3 of their papers we have counts for
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…
cs.NE2026
Internal noise in deep neural networks: interplay of depth, neuron number, and noise injection step
D. A. Maksimov, V. M. Moskvitin, N. Semenova
This paper examines the influence of internal Gaussian noise on the performance of deep feedforward neural networks, focusing on the role of the noise injection stage relative to t…
cs.NE2023★ 1 cited
Noise impact on recurrent neural network with linear activation function
V. M. Moskvitin, N. Semenova
In recent years, more and more researchers in the field of neural networks are interested in creating hardware implementations where neurons and the connection between them are rea…