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Literature DB >> 19003511

Interactions between neural networks: a mechanism for tuning chaos and oscillations.

Abstract

We show that chaos and oscillations in a higher-order binary neural network can be tuned effectively using interactions between neural networks. Our results suggest that network interactions may be useful as a means of adjusting the level of dynamic activities in systems that employ chaos and oscillations for information processing, or as a means of suppressing oscillatory behaviors in systems that require stability.

Year: 2007 PMID： 19003511 PMCID： PMC2267665 DOI： 10.1007/s11571-006-9004-7

Source DB: PubMed Journal: Cogn Neurodyn ISSN： 1871-4080 Impact factor: 5.082

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6 in total

1. New stability criteria for uncertain neural networks with interval time-varying delays.

Authors: Haixia Wu; Wei Feng; Xinyuan Liang
Journal: Cogn Neurodyn Date: 2008-09-24 Impact factor: 5.082

2. Combined effects of LTP/LTD and synaptic scaling in formation of discrete and line attractors with persistent activity from non-trivial baseline.

Authors: Timothee Leleu; Kazuyuki Aihara
Journal: Cogn Neurodyn Date: 2012-07-14 Impact factor: 5.082