@inproceedings{85ee6d43bafe47a586508c09495cc338,
title = "Detecting oscillations in neural networks via frequency domain analysis",
abstract = "In this paper we offer a graphical analysis for detecting orbital oscillations in a neural network model. The approach taken is based on a frequency domain methodology, in which graphical techniques are used to capture some of the intrinsic dynamical features of periodic solutions in a nonlinear neural network system with time delays. The graphical analysis provides a correct detection of large-amplitude and multiple limit cycles existing in the network model.",
author = "Moiola, {Jorge L.} and Daniel Berns and Guanrong Chen and Haluk Ogmen",
year = "1997",
language = "English",
volume = "2",
publisher = "IEEE",
pages = "669--673",
booktitle = "IEEE International Conference on Neural Networks - Conference Proceedings",
address = "United States",
note = "1997 IEEE International Conference on Neural Networks (ICNN'97), ICNN'97 ; Conference date: 09-06-1997 Through 12-06-1997",
}