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@Article{BreveZhaoQuilMaca:2009:ChPhSy,
               author = "Breve, Fabricio A. and Zhao, Liang and Quiles, Marcos G. and 
                         Macau, Elbert Einstein Nehrer",
          affiliation = "Department of Computer Science, Institute of Mathematics and 
                         Computer Science, University of S{\~a}o Paulo and Department of 
                         Computer Science, Institute of Mathematics and Computer Science, 
                         University of S{\~a}o Paulo and Department of Computer Science, 
                         Institute of Mathematics and Computer Science, University of 
                         S{\~a}o Paulo and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Chaotic phase synchronization and desynchronization in an 
                         oscillator network for object selection",
              journal = "Neural Networks",
                 year = "2009",
               volume = "22",
               number = "5-6 Special Issue",
                pages = "728--737",
                month = "July-Aug.",
             keywords = "chaotic phase synchronization, object selection, shifting 
                         mechanism, visual-attention, scene segmentation, neural-network, 
                         cortex, modulation, search, model, cat.",
             abstract = "Object selection refers to the mechanism of extracting objects of 
                         interest while ignoring other objects and background in a given 
                         visual scene. It is a fundamental issue for many computer vision 
                         and image analysis techniques and it is still a challenging task 
                         to artificial Visual systems. Chaotic phase synchronization takes 
                         place in cases involving almost identical dynamical systems and it 
                         means that the phase difference between the systems is kept 
                         bounded over the time, while their amplitudes remain chaotic and 
                         may be uncorrelated. Instead of complete synchronization, phase 
                         synchronization is believed to be a mechanism for neural 
                         integration in brain. In this paper, an object selection model is 
                         proposed. Oscillators in the network representing the salient 
                         object in a given scene are phase synchronized, while no phase 
                         synchronization occurs for background objects. In this way, the 
                         salient object can be extracted. In this model, a shift mechanism 
                         is also introduced to change attention from one object to another. 
                         Computer simulations show that the model produces some results 
                         similar to those observed in natural vision systems.",
                  doi = "10.1016/j.neunet.2009.06.027",
                  url = "http://dx.doi.org/10.1016/j.neunet.2009.06.027",
                 issn = "0893-6080",
                label = "lattes: 0793627832164040 4 BreveZhaoQuilMaca:2009:ChPhSy",
             language = "en",
           targetfile = "1-s2.0-S089360800900135X-main.pdf",
        urlaccessdate = "16 jan. 2021"
}


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