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- W2078461306 abstract "The noisy template model is a variant of an ideal detector for a signal known except for contrast. The ideal detector cross-correlates the stimulus with a normalised template which is matched to the known signal pattern. The noisy template model simply adds noise to the matched template every time it is cross-correlated with the signal. This paper outlines the predictions of the noisy template model for area summation. The noisy template model explains Piper’s Law, as does the ideal-observer, but it also explains critical area phenomena and the lack of area summation for contrast discrimination." @default.
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- W2078461306 date "1999-01-01" @default.
- W2078461306 modified "2023-09-23" @default.
- W2078461306 title "Noisy templates explain area summation" @default.
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- W2078461306 doi "https://doi.org/10.1016/s0042-6989(98)00141-2" @default.
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