The effect of category learning on the representation of shape: Dimensions can be biased but not differentiated

被引:55
作者
Op de Beeck, H
Wagemans, J
Vogels, R
机构
[1] Katholieke Univ Leuven, Neuro & Psychofysiol Lab, B-3000 Louvain, Belgium
[2] Katholieke Univ Leuven, Expt Psychol Lab, B-3000 Louvain, Belgium
关键词
D O I
10.1037/0096-3445.132.4.491
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Recent studies have suggested a profound influence of category learning on visual perception, resulting in independent processing of previously integral dimensions. The authors reinvestigate this issue for shape dimensions. They first extend previous findings that some shape dimensions (aspect ratio and curvature) are processed in a separable way, whereas others (radial frequency components) are not. They then show that a category-learning phase improved the discrimination of a relevant with respect to an irrelevant dimension, but only for separable dimensions. No similar effect was found on the relative sensitivity for integral shape dimensions. Thus, category learning is capable of biasing separable shape dimensions but does not alter the status of dimensions in the visual system as either separable or integral.
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页码:491 / 511
页数:21
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