A common signal detection model accounts for both perception and discrimination of the watercolor effect

Abstract : Establishing the relation between perception and discrimination is a fundamental objective in psychophysics, with the goal of characterizing the neural mechanisms mediating perception. Here, we show that a procedure for estimating a perceptual scale based on a signal detection model also predicts discrimination performance. We use a recently developed procedure, Maximum Likelihood Difference Scaling (MLDS), to measure the perceptual strength of a long-range, color, filling-in phenomenon, the Watercolor Effect (WCE), as a function of the luminance ratio between the two components of its generating contour. MLDS is based on an equal-variance, Gaussian, signal detection model and yields a perceptual scale with interval properties. The strength of the fill-in percept increased 10–15 times the estimate of the internal noise level for a 3-fold increase in the luminance ratio. Each observer's estimated scale predicted discrimination performance in a subsequent paired-comparison task. A common signal detection model accounts for both the appearance and discrimination data. Since signal detection theory provides a common metric for relating discrimination performance and neural response, the results have implications for comparing perceptual and neural response functions.
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Journal articles
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https://hal.univ-rennes2.fr/hal-01764850
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Submitted on : Thursday, April 12, 2018 - 1:56:03 PM
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Frédéric Devinck. A common signal detection model accounts for both perception and discrimination of the watercolor effect. Journal of Vision, Association for Research in Vision and Ophthalmology, 2012, 12 (3), pp.19 - 19. ⟨10.1167/12.3.19⟩. ⟨hal-01764850⟩

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