The effect of statistical learning on internal stimulus representations: Predictable items are enhanced even when not predicted

被引:35
作者
Barakat, Brandon K. [1 ]
Seitz, Aaron R. [2 ]
Shams, Ladan [1 ]
机构
[1] Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA 90095 USA
[2] Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA
基金
美国国家科学基金会;
关键词
Statistical learning; Perceptual learning; Stimulus saliency; Associative learning; BACKWARD TRANSITIONAL PROBABILITIES; 8-MONTH-OLD INFANTS; WORD SEGMENTATION; ATTENTION; SEQUENCES; REGULARITIES; UNCERTAINTY; IMPLICIT;
D O I
10.1016/j.cognition.2013.07.003
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Statistical learning is the automatic and unconscious learning of environmental regularities and is a basic mechanism of learning in a variety of human perceptual and cognitive domains. Previous studies have mainly focused on the associative mechanisms of statistical learning. However, an unexplored question is whether the internal representations of individual stimuli are altered as their associations are learned. Using a temporal statistical learning paradigm, we examine this question across three experiments and find clear evidence that the internal representations of individual stimuli are differentially altered according to their degree of temporal predictability. These findings complement previous accounts of statistical learning and reveal an enriched mechanism of human learning, such that learning to associate items also enhances the representations of certain items relative to others. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:205 / 211
页数:7
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