Reciprocal semantic predictions drive categorization of scene contexts and objects even when they are separate
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DOI: 10.1038/s41598-020-65158-y
Abstract: Visual categorization improves when object-context associations in scenes are semantically consistent, thus predictable from schemas stored in long-term memory. However, it is unclear whether this is due to differences in early perceptual processing, in matching… read more here.
Keywords: categorization; object context; predictions drive; scene ... See more keywords