Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue
Abstract
The unstable periodic orbits of chaotic dynamics in systems described by delay differential equations are considered. An orbit is stabilized successfully, using a method proposed by Pyragas. The system under investigation is a network of excitatory and inhibitory neurons of moderate size, describing cortical activity. The relevance of the results for synchronized cortical activity is discussed.
Cite
Text
Lourenço and Babloyantz. "Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue." Neural Computation, 1994. doi:10.1162/NECO.1994.6.6.1141Markdown
[Lourenço and Babloyantz. "Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue." Neural Computation, 1994.](https://mlanthology.org/neco/1994/lourenco1994neco-control/) doi:10.1162/NECO.1994.6.6.1141BibTeX
@article{lourenco1994neco-control,
title = {{Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue}},
author = {Lourenço, Carlos and Babloyantz, Agnessa},
journal = {Neural Computation},
year = {1994},
pages = {1141-1154},
doi = {10.1162/NECO.1994.6.6.1141},
volume = {6},
url = {https://mlanthology.org/neco/1994/lourenco1994neco-control/}
}