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• W2896051191 abstract "Edge detection is widely believed to be an important early stage in human visual processing. However, there have been relatively few attempts to map human edge detection filters. In this study, observers had to locate a randomly placed step edge in brown noise (the integral of white noise) with a 1/f2 power spectrum. Their responses were modelled by assuming the probability the observer chose an edge location depended on the response of their own edge detection filter to that location. The observer's edge detection filter was then estimated by maximum likelihood methods. The filters obtained were odd-symmetric and similar to a derivative of Gaussian, with a peak-to-trough width of 0.1-0.15 degrees. These filters are compared with previous estimates of edge detectors in humans, and with neurophysiological receptive fields and theoretical edge detectors." @default.
• W2896051191 created "2018-10-26" @default.
• W2896051191 creator A5024484614 @default.
• W2896051191 date "2018-12-01" @default.
• W2896051191 modified "2023-09-28" @default.
• W2896051191 title "Estimates of edge detection filters in human vision" @default.
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• W2896051191 doi "https://doi.org/10.1016/j.visres.2018.09.007" @default.
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