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Found 5 papers, 0 papers with code
Symbiosis of an artificial neural network and models of biological neurons: training and testing
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.
Simple method for detecting sleep episodes in rats ECoG using machine learning
Our results showed that the accuracy of ANN classification did not depend on ECoG-channel.
Noise mitigation strategies in physical feedforward neural networks
They therefore are prone to noise with a variety of statistical and architectural properties, and effective strategies leveraging network-inherent assets to mitigate noise in an hardware-efficient manner are important in the pursuit of next generation neural network hardware.
Understanding and mitigating noise in trained deep neural networks
Here, we determine for the first time the propagation of noise in deep neural networks comprising noisy nonlinear neurons in trained fully connected layers.
Fundamental aspects of noise in analog-hardware neural networks
The system under study consists of noisy linear nodes, and we investigate the signal-to-noise ratio at the network's outputs which is the upper limit to such a system's computing accuracy.
