Chaotic synchronization in 2D lattice for scene segmentation
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
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Data(s) |
20/10/2012
20/10/2012
2008
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Resumo |
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. (C) 2007 Elsevier B.V. All rights reserved. CNPq FAPESP |
Identificador |
NEUROCOMPUTING, v.71, n.13-15, p.2761-2771, 2008 0925-2312 http://producao.usp.br/handle/BDPI/29000 10.1016/j.neucom.2007.09.011 |
Idioma(s) |
eng |
Publicador |
ELSEVIER SCIENCE BV |
Relação |
Neurocomputing |
Direitos |
restrictedAccess Copyright ELSEVIER SCIENCE BV |
Palavras-Chave | #chaotic synchronization #2D lattice #oscillatory correlation #scene segmentation #COUPLED-OSCILLATOR-SYSTEMS #NEURAL OSCILLATORS #VISUAL-CORTEX #NETWORK #ATTENTION #PHASE #CAT #Computer Science, Artificial Intelligence |
Tipo |
article original article publishedVersion |