Testing quantitative models of backward masking.

Gregory Francis; Michael H Herzog

doi:10.3758/bf03206468

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Testing quantitative models of backward masking.

Gregory Francis·Michael H Herzog

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Abstract

We analyzed the relationship between U-shaped and monotonic-shaped masking functions, using both computer simulations of quantitative models and experimental data Our analysis revealed that quantitative models of backward masking predict that U-shaped masking functions should appear for weak masks and monotonic masking functions should appear for strong masks. The models predict, moreover, that for a fixed target and experimental task, as the mask changes it is possible to go from U-shaped to monotonic-shaped masking functions. Significantly, the models predict that at each stimulus onset asynchrony between the target and the mask, the U-shaped function must have weaker masking than the monotonic-shaped function. Contrary to the predictions of the models, we show an experimental situation that generates masking functions that violate this prediction.

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Form Perception Humans Perceptual Masking Clinical Trial Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

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Gregory Francis, Michael H Herzog. 2004. Testing quantitative models of backward masking.. https://doi.org/10.3758/bf03206468

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