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- W1967484756 abstract "In crowding, the perception of a target deteriorates in the presence of clutter. Crowding is usually explained within the framework of object recognition, where processing proceeds in a hierarchical and feedforward fashion from the analysis of low level features, such as lines and edges, to high level features, such shapes and objects. Here, reviewing work of the last two years, we will show evidence that these models fail to explain a large body of findings, which undermine the philosophy of this approach as such. We propose that the configuration of more or less all elements across the entire visual field determines crowding. Wholes, such as objects and shapes, determine performance on their constituting elements. Perceptual grouping and Gestalt, neglected for a long time, are key to understand crowding and object recognition in general." @default.
- W1967484756 created "2016-06-24" @default.
- W1967484756 creator A5003732762 @default.
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- W1967484756 date "2015-02-01" @default.
- W1967484756 modified "2023-10-18" @default.
- W1967484756 title "Uncorking the bottleneck of crowding: a fresh look at object recognition" @default.
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- W1967484756 doi "https://doi.org/10.1016/j.cobeha.2014.10.006" @default.
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