2018
DOI: 10.1073/pnas.1814657115
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High-capacity preconscious processing in concurrent groupings of colored dots

Abstract: Grouping is a perceptual process in which a subset of stimulus components (a group) is selected for a subsequent—typically implicit—perceptual computation. Grouping is a critical precursor to segmenting objects from the background and ultimately to object recognition. Here, we study grouping by color. We present subjects with 300-ms exposures of 12 dots colored with the same but unknown identical color interspersed among 14 dots of seven different colors. To indicate grouping, subjects point-click the remember… Show more

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Cited by 10 publications
(9 citation statements)
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“…Centroid judgments are a high-capacity preconscious computation It is important to keep in mind that a centroid judgment is a statistical summary representation, that is, it is a preconscious computation that utilizes much more display information than can be subsequently recalled. For example, in stimuli quite similar to those used here, Sun, Chubb, Wright, and Sperling (2018) found that even with a very generous scoring procedure in a change-detection memory task, the best subject remembered the approximate locations of fewer than two of 26 dots. Yet, in the same stimuli, subjects were able to estimate centroids that minimally required the accurate processing of more than 15 of 26 dots.…”
Section: Discussion: Partmentioning
confidence: 65%
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“…Centroid judgments are a high-capacity preconscious computation It is important to keep in mind that a centroid judgment is a statistical summary representation, that is, it is a preconscious computation that utilizes much more display information than can be subsequently recalled. For example, in stimuli quite similar to those used here, Sun, Chubb, Wright, and Sperling (2018) found that even with a very generous scoring procedure in a change-detection memory task, the best subject remembered the approximate locations of fewer than two of 26 dots. Yet, in the same stimuli, subjects were able to estimate centroids that minimally required the accurate processing of more than 15 of 26 dots.…”
Section: Discussion: Partmentioning
confidence: 65%
“…Recent studies show that subjects can compute SSRs for selective subsets that are spatially segregated (Attarha, Moore, & Vecera, 2014;Im & Chong, 2014) or are defined by different features (Chong & Treisman, 2005;Drew, Chubb, & Sperling, 2010;Halberda, Sires, & Feigenson, 2006;Inverso, Sun, Chubb, Wright, & Sperling, 2016;Poltoratski & Xu, 2013;Sun, Chubb, Wright, & Sperling, 2016a, 2016b). More impressively, some studies show that subjects can even compute multiple concurrent SSRs (Attarha, Moore, & Vecera, 2014;Chong & Treisman, 2005;Halberda, Sires, & Feigenson, 2006;Im & Chong, 2014;Poltoratski & Xu, 2013;Sun, Chubb, Wright, & Sperling, 2018). The present study investigates multiple SSRs.…”
Section: Introductionmentioning
confidence: 79%
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