Cui Anja X, Diercks Charlette, Troje Nikolaus F, Cuddy Lola L
Department of Psychology, Queen's University , Kingston , Ontario , Canada.
Department of Psychology, Queen's University, Kingston, Ontario, Canada; Fachbereich Humanwissenschaften, Universität Osnabrück, Osnabrück, Germany.
PeerJ. 2016 Aug 30;4:e2399. doi: 10.7717/peerj.2399. eCollection 2016.
We report on a study conducted to extend our knowledge about the process of gaining a mental representation of music. Several studies, inspired by research on the statistical learning of language, have investigated statistical learning of sequential rules underlying tone sequences. Given that the mental representation of music correlates with distributional properties of music, we tested whether participants are able to abstract distributional information contained in tone sequences to form a mental representation. For this purpose, we created an unfamiliar music genre defined by an underlying tone distribution, to which 40 participants were exposed. Our stimuli allowed us to differentiate between sensitivity to the distributional properties contained in test stimuli and long term representation of the distributional properties of the music genre overall. Using a probe tone paradigm and a two-alternative forced choice discrimination task, we show that listeners are able to abstract distributional properties of music through mere exposure into a long term representation of music. This lends support to the idea that statistical learning is involved in the process of gaining musical knowledge.
我们报告了一项旨在扩展我们对获得音乐心理表征过程的认识的研究。受语言统计学习研究启发的多项研究，调查了音调序列背后顺序规则的统计学习。鉴于音乐的心理表征与音乐的分布特性相关，我们测试了参与者是否能够提取音调序列中包含的分布信息以形成心理表征。为此，我们创建了一种由潜在音调分布定义的不熟悉音乐类型，让40名参与者接触。我们的刺激使我们能够区分对测试刺激中包含的分布特性的敏感度和对该音乐类型分布特性的长期表征。使用探测音范式和二选一强制选择辨别任务，我们表明听众能够通过单纯接触将音乐的分布特性抽象为音乐的长期表征。这支持了统计学习参与获得音乐知识过程的观点。
