Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
409091 | Neurocomputing | 2008 | 11 Pages |
Abstract
Synchronization and chaos play important roles in neural activities and have been applied in oscillatory correlation modeling for scene and data analysis. Although it is an extensively studied topic, there are still few results regarding synchrony in locally coupled systems. In this paper we give a rigorous proof to show that large numbers of coupled chaotic oscillators with parameter mismatch in a 2D lattice can be synchronized by providing a sufficiently large coupling strength. We demonstrate how the obtained result can be applied to construct an oscillatory network for scene segmentation.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Liang Zhao, Fabricio Aparecido Breve,