Learning across senses: cross-modal effects in multisensory statistical learning.
Learning across senses: cross-modal effects in multisensory statistical learning.
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DOI：
10.1037/a0023700
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发表时间：
2011-09
影响因子：
2.6
通讯作者：
Weiss, Daniel J.
中科院分区：
文献类型：
--
作者：
Mitchel, Aaron D.;Weiss, Daniel J.
目前尚不清楚统计学习是由一般模态机制还是特定模态机制支持。这场辩论中的一个问题涉及一种模式的学习与其他模式的学习的独立性。在本研究中，作者通过同时向学习者提供听觉和视觉流，研究了跨模式统计学习的独立程度。在独立建立每个流的学习基准率后，他们系统地改变了 3 个实验中的视听对应量。他们发现，只有当音频和视觉三元组的边界对齐时，学习者才能成功分割两个流。这种结果模式表明，只要存在一定程度的跨模态一致性，学习者就能够跨模态提取多种统计规律。他们根据最近的说法讨论了他们的结果的含义，即多感官统计学习是由独立于模态的机制引导的。
It is currently unknown whether statistical learning is supported by modality-general or modality-specific mechanisms. One issue within this debate concerns the independence of learning in one modality from learning in other modalities. In the present study, the authors examined the extent to which statistical learning across modalities is independent by simultaneously presenting learners with auditory and visual streams. After establishing baseline rates of learning for each stream independently, they systematically varied the amount of audiovisual correspondence across 3 experiments. They found that learners were able to segment both streams successfully only when the boundaries of the audio and visual triplets were in alignment. This pattern of results suggests that learners are able to extract multiple statistical regularities across modalities provided that there is some degree of cross-modal coherence. They discuss the implications of their results in light of recent claims that multisensory statistical learning is guided by modality-independent mechanisms.
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影响因子：
2.5
作者：
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通讯作者：
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DOI：
10.1073/pnas.0708424105
发表时间：
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