Object-level visual information gets through the bottleneck of crowding

被引:72
作者
Fischer, Jason [1 ]
Whitney, David [1 ]
机构
[1] Univ Calif Berkeley, Dept Psychol, Berkeley, CA 94720 USA
基金
美国国家科学基金会;
关键词
face recognition; object recognition; emotion; sparse selection; ensemble; texture; RAPID EXTRACTION; RECOGNITION; SETS; REPRESENTATION; RESOLUTION; FACE;
D O I
10.1152/jn.00904.2010
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Fischer J, Whitney D. Object-level visual information gets through the bottleneck of crowding. J Neurophysiol 106: 1389-1398, 2011. First published June 15, 2011; doi:10.1152/jn.00904.2010.-Natural visual scenes are cluttered. In such scenes, many objects in the periphery can be crowded, blocked from identification, simply because of the dense array of clutter. Outside of the fovea, crowding constitutes the fundamental limitation on object recognition and is thought to arise from the limited resolution of the neural mechanisms that select and bind visual features into coherent objects. Thus it is widely believed that in the visual processing stream, a crowded object is reduced to a collection of dismantled features with no surviving holistic properties. Here, we show that this is not so: an entire face can survive crowding and contribute its holistic attributes to the perceived average of the set, despite being blocked from recognition. Our results show that crowding does not dismantle high-level object representations to their component features.
引用
收藏
页码:1389 / 1398
页数:10
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