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- W4387304815 abstract "Crowding is the inability to recognize an object in clutter, usually considered a fundamental low-level bottleneck to object recognition. Recently, however, it has been suggested that crowding, like predictive phenomena such as serial dependence, may result from optimizing strategies that exploit redundancies in natural scenes. This notion leads to several testable predictions, such as crowding being greater for non-salient targets and, counter-intuitively, that flanker interference should be associated with higher precision in colour judgements, leading to lower overall error rate. Here we measured colour discrimination in forced choice, for isolated targets and for targets flanked by stimuli of variable colour. The results verified both predictions, showing that while crowding can affect object recognition, it may be better understood not as a processing bottleneck, but as a consequence of efficient exploitation of the spatial redundancies of the natural world." @default.
- W4387304815 created "2023-10-04" @default.
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- W4387304815 date "2023-10-02" @default.
- W4387304815 modified "2023-10-16" @default.
- W4387304815 title "Colour crowding explained as adaptive integration of target with flankers" @default.
- W4387304815 doi "https://doi.org/10.31234/osf.io/7vnkm" @default.
- W4387304815 hasPublicationYear "2023" @default.
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