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跨模态关联在统计学习中的作用。

The role of cross-modal associations in statistical learning.

机构信息

Department of Psychology, Hebrew University, Mount Scopus, Jerusalem, 91905, Israel,

出版信息

Psychon Bull Rev. 2013 Dec;20(6):1161-9. doi: 10.3758/s13423-013-0458-4.

DOI:10.3758/s13423-013-0458-4
PMID:23716019
Abstract

Our environment is richly structured, with objects producing correlated information within and across sensory modalities. A prominent challenge faced by our perceptual system is to learn such regularities. Here, we examined statistical learning and addressed learners' ability to track transitional probabilities between elements in the auditory and visual modalities. Specifically, we investigated whether cross-modal information affects statistical learning within a single modality. Participants were familiarized with a statistically structured modality (e.g., either audition or vision) accompanied by different types of cues in a second modality (e.g., vision or audition). The results revealed that statistical learning within either modality is affected by cross-modal information, with learning being enhanced or reduced according to the type of cue provided in the second modality.

摘要

我们的环境结构丰富,物体在感觉模态内和跨模态产生相关信息。我们的感知系统面临的一个突出挑战是学习这些规律。在这里,我们研究了统计学习,并探讨了学习者在听觉和视觉模态之间跟踪元素之间转移概率的能力。具体来说,我们调查了跨模态信息是否会影响单一模态内的统计学习。参与者熟悉一个结构上有规律的模态(例如听觉或视觉),同时在第二个模态(例如视觉或听觉)中伴有不同类型的提示。结果表明,任一模态内的统计学习都会受到跨模态信息的影响,根据第二个模态中提供的提示类型,学习会增强或减弱。

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