Chaotic synchronization in 2D lattice for scene segmentation


Autoria(s): Liang, Zhao; Breve, Fabricio Aparecido
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2008

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

http://dx.doi.org/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