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在人工语法环境中学习音高和时间结构。

Learning of pitch and time structures in an artificial grammar setting.

作者信息

Prince Jon B, Stevens Catherine J, Jones Mari Riess, Tillmann Barbara

机构信息

School of Psychology and Exercise Science, Murdoch University.

MARCS Institute for Brain, Behaviour & Development and School of Social Sciences & Psychology, Western Sydney University.

出版信息

J Exp Psychol Learn Mem Cogn. 2018 Aug;44(8):1201-1214. doi: 10.1037/xlm0000502. Epub 2018 Apr 12.

Abstract

Despite the empirical evidence for the power of the cognitive capacity of implicit learning of structures and regularities in several modalities and materials, it remains controversial whether implicit learning extends to the learning of temporal structures and regularities. We investigated whether (a) an artificial grammar can be learned equally well when expressed in duration sequences as when expressed in pitch sequences, (b) learning of the artificial grammar in either duration or pitch (as the primary dimension) sequences can be influenced by the properties of the secondary dimension (invariant vs. randomized), and (c) learning can be boosted when the artificial grammar is expressed in both pitch and duration. After an exposure phase with grammatical sequences, learning in a subsequent test phase was assessed in a grammaticality judgment task. Participants in both the pitch and duration conditions showed incidental (not fully implicit) learning of the artificial grammar when the secondary dimension was invariant, but randomizing the pitch sequence prevented learning of the artificial grammar in duration sequences. Expressing the artificial grammar in both pitch and duration resulted in disproportionately better performance, suggesting an interaction between the learning of pitch and temporal structure. The findings are relevant to research investigating the learning of temporal structures and the learning of structures presented simultaneously in 2 dimensions (e.g., space and time, space and objects). By investigating learning, the findings provide further insight into the potential specificity of pitch and time processing, and their integrated versus independent processing, as previously debated in music cognition research. (PsycINFO Database Record

摘要

尽管有实证证据表明,在多种模态和材料中,内隐学习结构和规律的认知能力具有强大作用,但内隐学习是否能扩展到时间结构和规律的学习仍存在争议。我们研究了以下问题:(a) 人工语法以时长序列表达时,是否能像以音高序列表达时一样被很好地学习;(b) 在时长或音高(作为主要维度)序列中学习人工语法时,是否会受到次要维度属性(不变 vs. 随机)的影响;(c) 当人工语法同时以音高和时长表达时,学习效果是否会得到提升。在经历语法序列的暴露阶段后,在后续测试阶段通过语法性判断任务评估学习情况。当次要维度不变时,音高和时长条件下的参与者都表现出了对人工语法的附带(并非完全内隐)学习,但将音高序列随机化会阻碍在时长序列中学习人工语法。同时以音高和时长表达人工语法会带来不成比例的更好表现,这表明音高和时间结构的学习之间存在相互作用。这些发现与研究时间结构学习以及二维(如空间和时间、空间和物体)中同时呈现的结构学习相关。通过研究学习情况,这些发现为音高和时间处理的潜在特异性以及它们的整合与独立处理提供了进一步的见解,正如音乐认知研究中先前讨论的那样。(PsycINFO数据库记录)

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