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- W1934582935 abstract "The authors propose a model of coupled phase oscillators with noise that performs segmentation of objects using a set of stored images each consisting of figures and a background. The amplitudes of the oscillators encode the spatial distribution and distribution of features of the external stimulus. In the learning stage the couplings between the phases are modified in a Hebb-like manner. It is shown that an external stimulus whose local features resemble those of one or several of the stored figures causes a selective phase coherence that retrieves the stored pattern of segmentation. >" @default.
- W1934582935 created "2016-06-24" @default.
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- W1934582935 date "2003-01-02" @default.
- W1934582935 modified "2023-09-24" @default.
- W1934582935 title "Image segmentation by a network of oscillators with memory" @default.
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- W1934582935 doi "https://doi.org/10.1109/ijcnn.1992.227188" @default.
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