Visually-salient contour detection using a V1 neural model with horizontal connections

A convolution model which accounts for neural activity dynamics in the primary visual cortex is derived and used to detect visually salient contours in images. Image inputs to the model are modulated by long-range horizontal connections, allowing contextual effects in the image to determine visual s...

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Bibliographische Detailangaben
Hauptverfasser: Loxley, P. N, Bettencourt, L. M
Format: Artikel
Sprache:eng
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