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The implicit learning of metrical and nonmetrical temporal patterns

机译:度量和非度量时间模式的隐式学习

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Implicit learning (IL) occurs unintentionally. IL of temporal patterns has received minimal attention, and results are mixed regarding whether IL of temporal patterns occurs in the absence of a concurrent ordinal pattern. Two experiments examined the IL of temporal patterns and the conditions under which IL is exhibited. Experiment 1 examined whether uncertainty of the upcoming stimulus identity obscures learning. Based on probabilistic uncertainty, it was hypothesized that stimulus-detection tasks are more sensitive to temporal learning than multiple-alternative forced-choice tasks because of response uncertainty in the latter. Results demonstrated IL of metrical patterns in the stimulus-detection but not the multiple-alternative task. Experiment 2 investigated whether properties of rhythm (i.e., meter) benefit IL using the stimulus-detection task. The metric binding hypothesis states that metrical frameworks guide attention to periodic points in time. Based on the metric binding hypothesis, it was hypothesized that metrical patterns are learned faster than nonmetrical patterns. Results demonstrated learning of metrical and nonmetrical patterns but metrical patterns were not learned more readily than nonmetrical patterns. However, abstraction of a metrical framework was still evident in the metrical condition. The present study shows IL of auditory temporal patterns in the absence of an ordinal pattern.
机译:内隐学习(IL)意外发生。时间模式的IL受到的关注最小,并且关于时间模式的IL是否在没有并行顺序模式的情况下发生的结果是混合的。两项实验检查了时间模式的IL和显示IL的条件。实验1检验了即将到来的刺激身份的不确定性是否会阻碍学习。基于概率不确定性,假设刺激检测任务对时间学习的敏感性要高于多重选择的强制选择任务,因为后者的反应不确定性。结果表明刺激检测中的度量模式为IL,但不是多重替代任务。实验2使用刺激检测任务研究了节奏特性(即米)是否使IL受益。度量约束假设指出,度量框架将注意力引导到时间点上。基于度量约束假设,可以假设度量模式的学习速度比非度量模式要快。结果表明学习了公制和非公制模式,但是公制模式比非公制模式更容易学习。但是,在度量条件下,度量框架的抽象仍然很明显。本研究表明在没有序数模式的情况下听觉时间模式的IL。

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