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An oscillatory correlation model of object-based attention
2009
2009 International Joint Conference on Neural Networks
Attention is a critical mechanism for visual scene analysis. By means of attention, it is possible to break down the analysis of a complex scene to the analysis of its parts through a selection process. Empirical studies demonstrate that attentional selection is conducted on visual objects as a whole. We present a neurocomputational model of object-based selection in the framework of oscillatory correlation. By segmenting an input scene and integrating the segments with their conspicuity
doi:10.1109/ijcnn.2009.5178597
dblp:conf/ijcnn/QuilesWZRH09
fatcat:yqskf4v3lvfn5gfl64hbhqz7w4