Synchronization in lattices of coupled oscillators
Proceedings of the workshop on Lattice dynamics
Synchronization and desynchronization in a network of locally coupled Wilson-Cowan oscillators
IEEE Transactions on Neural Networks
A network of dynamically coupled chaotic maps for scene segmentation
IEEE Transactions on Neural Networks
Pixel clustering by adaptive pixel moving and chaotic synchronization
IEEE Transactions on Neural Networks
The time dimension for scene analysis
IEEE Transactions on Neural Networks
Synchronization in time-discrete delayed chaotic systems
Neurocomputing
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Chaotic synchronization has been discovered to be an important property of neural activities, which in turn has encouraged many researchers to develop chaotic neural networks for scene and data analysis. In this paper, we study the synchronization role of coupled chaotic oscillators in networks of general topology. Specifically, a rigorous proof is presented to show that a large number of oscillators with arbitrary geometrical connections can be synchronized by providing a sufficiently strong coupling strength. Moreover, the results presented in this paper not only are valid to a wide class of chaotic oscillators, but also cover the parameter mismatch case. Finally, we show how the obtained result can be applied to construct an oscillatory network for scene segmentation.