227 citations · 677 across the 15 of their papers we have counts for
4 papers · 1 filter
Symbiosis of an artificial neural network and models of biological neurons: training and testing
Tatyana Bogatenko, Konstantin Sergeev, Andrei Slepnev +2
In this paper we show the possibility of creating and identifying the features of an artificial neural network (ANN) which consists of mathematical models of biological neurons. Th…
Simple method for detecting sleep episodes in rats ECoG using machine learning
Konstantin Sergeev, Anastasiya Runnova, Maxim Zhuravlev +5
In this paper we propose a new method for the automatic recognition of the state of behavioral sleep (BS) and waking state (WS) in freely moving rats using their electrocorticograp…
Noise mitigation strategies in physical feedforward neural networks
Nadezhda Semenova, Daniel Brunner
Physical neural networks are promising candidates for next generation artificial intelligence hardware. In such architectures, neurons and connections are physically realized and d…
Understanding and mitigating noise in trained deep neural networks
Nadezhda Semenova, Laurent Larger, Daniel Brunner
Deep neural networks unlocked a vast range of new applications by solving tasks of which many were previously deemed as reserved to higher human intelligence. One of the developmen…