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Incidental Learning of Temporal Structures Conforming to a Metrical Framework

机译:符合度量框架的时间结构的附带学习

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Implicit learning of sequential structures has been investigated mostly for visual, spatial, or motor learning, but rarely for temporal structure learning. The few experiments investigating temporal structure learning have concluded that temporal structures can be learned only when coupled with another structural dimension, such as musical pitch or spatial location. In these studies, the temporal structures were without metrical organization and were dependent upon participants’ response times (Response-to-Stimulus Intervals). In our study, two experiments investigated temporal structure learning based on Inter-Onset-Intervals in the presence of an uncorrelated second dimension (ordinal structure) with metrically organized temporal structures. Our task was an adaptation of the classical Serial Reaction Time paradigm, using an implicit task in the auditory domain (syllable identification). Reaction times (RT) revealed that participants learned the temporal structures over the exposure blocks (decrease in RT) without a correlated ordinal dimension. The introduction of a test block with a novel temporal structure slowed RT and exemplified the typical implicit learning profile. Post-test results suggested that participants did not have explicit knowledge of the metrical temporal structures. These findings provide the first evidence of the learning of temporal structure with an uncorrelated ordinal structure, and set a foundation for further investigation of temporal cognition.
机译:已经研究了顺序结构的隐式学习,主要用于视觉,空间或运动学习,但很少用于时间结构学习。少数研究时间结构学习的实验得出的结论是,只有与其他结构维度(例如音高或空间位置)耦合时,才能学习时间结构。在这些研究中,时间结构没有度量单位,并且取决于参与者的反应时间(反应时间间隔)。在我们的研究中,有两个实验研究了在互不相关的第二维(有序结构)与度量组织的时间结构存在的情况下,基于发作间隔的时间结构学习。我们的任务是在听觉域(音节识别)中使用隐式任务,对经典的“串行反应时间”范式进行改编。反应时间(RT)显示,参与者学习了暴露区域的时间结构(RT降低),而没有相关的序数维度。具有新型时间结构的测试块的引入减慢了RT并举例说明了典型的隐式学习模式。测试后的结果表明,参与者对度量时间结构没有明确的了解。这些发现为学习具有不相关序数结构的时间结构提供了第一个证据,并为进一步研究时间认知奠定了基础。

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