音乐句法的内隐习得及其对图式性期待的影响

音乐句法的习得来源于对音乐图式统计规则的长期抽象,有赖于日常音乐曝光和统计学习能力,其在构建音乐心理词典的过程中发挥着重要作用并影响着音乐图式性期待的形成。音乐句法可在无意识曝光中被内隐习得,而外显的专业训练可能有利于音乐统计学习能力的提升。对ERAN、N5、mCPS等音乐句法相关脑电成分进行研究有助于深入了解音乐句法内隐习得的加工机制。在完整音乐结构背景下,考察各音乐要素习得之间的交互作用,将使音乐学习实验更具生态效度,促进研究成果运用于音乐教学实践。     

音乐学习对语言加工的促进作用

音乐学习可以增强个体的艺术素养,同时,音乐学习对其他认知加工过程尤其是语言学习还有正面的促进作用。近年来国内外学者主要围绕着音乐家、音乐学习障碍个体开展了一系列相关工作,同时还进行了相关的追踪研究。值得注意的是,有关音乐学习促进语言加工的实证依据主要来自横断研究,还需要更多的纵向追踪研究来进一步提供因果关系的证据。这方面的工作将最终促进音乐学习与训练在教育与医疗领域的广泛应用。     

3~4岁儿童规则因果推理能力的训练研究

学前期是儿童多种推理能力产生和发展的重要时期。本研究(以64名3岁儿童为被试,采用Frye和Zelazo等所设计的“二进二出”装置,通过对3岁儿童的规则因果推理能力进行训练,从而探索儿童规则因果推理的内在机制。在本研究条件下,结果发现:1.年龄与训练的交互效应不显著,各年龄组儿童经过训练后,成绩的提高没有显著差异;2.规则与训练的交互效应显著,竖直规则下,儿童通过训练后提高的成绩不显著,但在交叉规则下前测后测成绩差异极其显著;3.训练效应显著,暴露因果机制,给予及时反馈和阐述规则时附加手势这些信息能促进年幼儿童对高级规则的掌握。     

工作记忆刷新功能的可塑性

从工作记忆刷新功能的训练入手, 以不同人群为研究对象, 采用活动记忆任务, 从行为层面和认知神经层面探讨工作记忆刷新功能的可塑性。结果发现, 工作记忆刷新功能具有可塑性。具体表现为, 通过刷新功能训练, 个体在工作记忆刷新任务上的成绩提高。工作记忆刷新功能训练使得个体对刺激的识别能力增强, 对无关信息的抑制能力提高, 进而促使工作记忆中的更新能力得到提升。通过工作记忆刷新训练可以提高个体其它认知功能, 但是, 相对于认知能力稳定以及衰退的个体, 这种迁移效应在工作记忆能力发展个体中的表现更为明显。     

音乐训练对4~5岁幼儿普通话声调范畴感知能力的影响

已有研究表明, 音乐训练能提高成人对普通话声调范畴感知的能力, 此种训练能否增强幼儿对声调范畴感知的能力?训练效果是否受到训练时间长短的影响?本研究对幼儿园4~5岁幼儿进行音乐训练, 共40人, 分成音乐组和控制组, 每组各20人, 追踪考察音乐训练和训练时间长短对幼儿声调范畴感知能力提升的影响。实验采用前测-中测-后测设计, 对音乐组开展每周3次, 每次30分钟, 以小钟琴演奏为主的音乐训练; 控制组不进行任何有组织的训练活动。结果发现, 12个月音乐训练提升了幼儿对声调范畴感知的程度, 表现为音乐组幼儿范畴边界宽度显著小于控制组, 而训练6个月时, 该优势并不显著。此外, 12个月音乐训练还加强了幼儿区分范畴内刺激声学差异的敏感性, 而对范畴间刺激的区分能力无显著提高。本研究结果支持了音乐学习的歌剧理论(OPERA), 音乐训练具有跨域迁移作用, 可提升4~5岁幼儿对普通话声调范畴感知的能力, 但只有长期持续的训练才可能真正提高幼儿的音高精细化加工水平。     

视觉表象产生加工的可塑性水平研究

采用标准化的视觉表象产生任务,以经过系统训练以及三个不同年龄阶段被试为研究对象来研究视觉表象产生加工时所表现出的可塑性水平。研究结果表明,视觉表象产生加工水平会因外界系统训练而发生功能增强的练习效应,也表现出随着个体的发展所呈现出的年龄效应,年幼儿童还不能产生空间表征,9岁左右可能是儿童类别表象产生能力发展的一个重要时期,也是个体视觉表象产生加工能力可塑性最高的时期。说明由于受大脑神经细胞活动特性改变的影响,视觉表象产生能力具有相对较高的可塑性和易变性特点。     

统计学习的认知神经机制及其与语言的关系

统计学习是指个体在连续刺激流中发现转移概率等统计规律的过程, 在Saffran等(1996)的经典婴儿语音切分研究中首次被提出。大量研究证实了统计学习的普遍存在, 近期学界开始关注统计学习的特异性及其对认知的影响, 尤其是从学习过程及其特异性两个方面阐述统计学习的认知神经机制并揭示其和语言的交互作用。未来应从脑和行为的多模态数据视角, 丰富统计学习结果的行为和神经指标, 考察不同类型统计学习过程的动态神经活动模式, 建立统计学习行为和脑的关联, 深化对统计学习认知神经机制的认识, 在统计学习与语言交互作用的基础上, 从成人二语学习切入结合音乐统计学习训练探讨促进语言学习的统计学习干预手段。     

音乐训练经验与节奏变化空间表征的关系：基于SMARC效应的检验

运用眼动分析法,采用架子鼓渐快/渐慢节奏听觉材料,利用SMARC效应的机制,探讨个体的音乐训练经验与其形成节奏变化的空间表征的关系。结果显示,相对于无音乐训练经验被试,有音乐训练经验被试在渐快节奏下对远方位有更多注视时间,在渐慢节奏下对近方位有更多注视时间。即在有音乐训练经验者身上更可能观察到音乐节奏变化与远近空间方位的SMARC效应。因此,个体能否形成音乐节奏变化的空间表征与其音乐训练经验存在关系。     

类别数量对基于规则和信息整合类别学习的影响

研究以大学生为被试,运用即时反馈训练范式,探讨类别数量对基于规则和信息整合两种结构的类别学习的影响,并探讨被试在类别学习过程中的反应策略。实验结果显示:(1)类别数量不仅影响基于规则结构的类别学习,也影响信息整合结构的类别学习,类别学习成绩随类别数量的增多而下降;(2)在基于规则类别学习中,大多数被试使用理想的分类规则进行类别判断;在信息整合类别学习中,大多数被试使用极端值策略。研究结果支持难度观,不支持多重系统理论。     

音乐训练对认知能力的影响

在当今社会中, 越来越多的儿童接受音乐训练, 试图通过音乐训练提高认知能力。针对认知活动中的语言能力、空间能力以及数学能力, 探究音乐训练与认知能力的关系, 试图为音乐教育提供实证依据。研究结果表明, 尽管音乐训练与认知能力的关系较为复杂, 但是, 音乐训练与个体的语言知觉和产生能力以及空间视觉化能力都存在正相关, 且在一定程度上可以提高这些认知能力。     

统计学习与双语认知的关系

统计学习是提取环境输入潜在规则的一种认知机制,其与语言的关联已得到证实。双语认知是学界关注的热点之一。统计学习与双语认知的关系如何?文章先介绍统计学习认知机制及其与语言的关系,然后从“统计学习能力可否预测二语学习表现”、“统计学习训练能否促进二语学习”和“双语经验能否提高统计学习能力”三个维度述评相关文献,并指出未来可从输入特征、个体差异和神经科学角度进一步探讨统计学习与双语认知的关系。     

音乐训练对大学生执行功能的影响

近年来大量研究发现音乐训练对认知能力的具有积极影响，一些理论认为音乐训练的广泛迁移效应是通过执行功能起中介作用，但音乐训练与执行功能的关系至今仍存争议。研究将执行功能分为抑制控制、工作记忆和认知灵活性三个子成分，并将抑制控制进一步细分为注意抑制和反应抑制，同时区分工作记忆中主动性控制和反应性控制两种认知过程。通过对比音乐组和控制组在执行功能各任务（Go/No-go, Stroop, AX-CPT, Task-switching）上的行为表现来系统考察音乐训练与执行功能的关系。结果表明音乐训练对执行功能不同子成分的影响具有差异性，其促进效应主要体现在抑制控制中的注意抑制和工作记忆中的主动性控制，对抑制控制中的反应抑制、工作记忆中的反应性控制和认知灵活性影响较小。     

Seeing what you hear: Visual feedback improves pitch recognition

The present study examined the effect of visual feedback on the ability to recognise and consolidate pitch information. We trained two groups of nonmusicians to play a piano piece by ear, having one group receiving uninterrupted audiovisual feedback, while allowing the other only to hear, but not see their hand on the keyboard. Results indicate that subjects for whom visual information was deprived showed significantly poorer ability to recognise pitches from the musical piece they had learned. These results are interesting since pitch recognition ability would not intuitively seem to rely on visual feedback. In addition, we show that subjects with previous experience in computer touch-typing made fewer errors during training when trained with no visual feedback, but did not show improved pitch recognition ability posttraining. Our results demonstrate how sensory redundancy increases robustness of learning, and further encourage the use of audiovisual training procedures for facilitating the learning of new skills.     

工作记忆训练及对数学能力的迁移作用

工作记忆缺陷会影响个体数学能力发展。通过记忆策略、广度、刷新、转换等功能的工作记忆训练,可以改善个体认知功能。然而,工作记忆训练对个体的阅读、数学、流体智力等方面的远迁移效果并不一致。研究表明,工作记忆训练可以改善数感、视觉空间能力、推理能力等数学一般技能;也会通过改善语音工作记忆以及空间能力促进数学计算能力,或者通过改善中央执行系统,提升数学问题表征、模式识别、解题迁移、策略选择等复杂的过程,从而促进数学问题解决能力。因此,区分不同数学任务的认知过程,可以获得工作记忆训练对数学能力迁移效果的进一步证据。今后,神经影像学的证据或许也是未来工作记忆训练对数学能力提高的又一佐证。     

Learning harmony: the role of serial statistics

How do listeners learn about the statistical regularities underlying musical harmony? In traditional Western music, certain chords predict the occurrence of other chords: Given a particular chord, not all chords are equally likely to follow. In Experiments 1 and 2, we investigated whether adults make use of statistical information when learning new musical structures. Listeners were exposed to a novel musical system containing phrases generated using an artificial grammar. This new system contained statistical structure quite different from Western tonal music. Our results suggest that learners take advantage of the statistical patterning of chords to acquire new musical structures, similar to learning processes previously observed for language learning.     

工作记忆训练及对数学能力的迁移作用

工作记忆缺陷会影响个体数学能力发展。通过记忆策略、广度、刷新、转换等功能的工作记忆训练,可以改善个体认知功能。然而,工作记忆训练对个体的阅读、数学、流体智力等方面的远迁移效果并不一致。研究表明,工作记忆训练可以改善数感、视觉空间能力、推理能力等数学一般技能;也会通过改善语音工作记忆以及空间能力促进数学计算能力,或者通过改善中央执行系统,提升数学问题表征、模式识别、解题迁移、策略选择等复杂的过程,从而促进数学问题解决能力。因此,区分不同数学任务的认知过程,可以获得工作记忆训练对数学能力迁移效果的进一步证据。今后,神经影像学的证据或许也是未来工作记忆训练对数学能力提高的又一佐证。     

Are there pre-existing neural, cognitive, or motoric markers for musical ability?

Adult musician's brains show structural enlargements, but it is not known whether these are inborn or a consequence of long-term training. In addition, music training in childhood has been shown to have positive effects on visual-spatial and verbal outcomes. However, it is not known whether pre-existing advantages in these skills are found in children who choose to study a musical instrument nor is it known whether there are pre-existing associations between music and any of these outcome measures that could help explain the training effects. To answer these questions, we compared 5- to 7-year-olds beginning piano or string lessons (n=39) with 5- to 7-year-olds not beginning instrumental training (n=31). All children received a series of tests (visual-spatial, non-verbal reasoning, verbal, motor, and musical) and underwent magnetic resonance imaging. We found no pre-existing neural, cognitive, motor, or musical differences between groups and no correlations (after correction for multiple analyses) between music perceptual skills and any brain or visual-spatial measures. However, correlations were found between music perceptual skills and both non-verbal reasoning and phonemic awareness. Such pre-existing correlations suggest similarities in auditory and visual pattern recognition as well a sharing of the neural substrates for language and music processing, most likely due to innate abilities or implicit learning during early development. This baseline study lays the groundwork for an ongoing longitudinal study addressing the effects of intensive musical training on brain and cognitive development, and making it possible to look retroactively at the brain and cognitive development of those children who emerge showing exceptional musical talent.     

音乐训练对执行功能的影响

尽管音乐训练影响许多认知加工,但这种广泛性影响背后的机制迄今仍不清楚。近年来,研究者认为音乐训练的迁移效应可能是通过执行功能起作用。本文将执行功能细分为抑制控制、工作记忆、认知灵活性三个核心成分,考察音乐训练对这三个成分的影响以及执行功能在音乐训练迁移效应中的中介作用。研究结果表明,音乐训练对执行功能不同成分的影响有不同特点。同时,前额叶结构与功能的变化在音乐训练影响执行功能的过程中发挥着重要作用。此外,关于执行功能在音乐训练迁移效应中的中介作用,目前研究还存在不一致的结果,未来研究应采用多种技术手段深入探讨这一问题。     

Songs as an aid for language acquisition

In previous research, Saffran and colleagues [Saffran, J. R., Aslin, R. N., & Newport, E. L. (1996). Statistical learning by 8-month-old infants. Science, 274, 1926-1928; Saffran, J. R., Newport, E. L., & Aslin, R. N. (1996). Word segmentation: The role of distributional cues. Journal of Memory and Language, 35, 606-621.] have shown that adults and infants can use the statistical properties of syllable sequences to extract words from continuous speech. They also showed that a similar learning mechanism operates with musical stimuli [Saffran, J. R., Johnson, R. E. K., Aslin, N., & Newport, E. L. (1999). Abstract Statistical learning of tone sequences by human infants and adults. Cognition, 70, 27-52.]. In this work we combined linguistic and musical information and we compared language learning based on speech sequences to language learning based on sung sequences. We hypothesized that, compared to speech sequences, a consistent mapping of linguistic and musical information would enhance learning. Results confirmed the hypothesis showing a strong learning facilitation of song compared to speech. Most importantly, the present results show that learning a new language, especially in the first learning phase wherein one needs to segment new words, may largely benefit of the motivational and structuring properties of music in song.     

Pitches that Wire Together Fire Together: Scale Degree Associations Across Time Predict Melodic Expectations

The ongoing generation of expectations is fundamental to listeners’ experience of music, but research into types of statistical information that listeners extract from musical melodies has tended to emphasize transition probabilities and n-grams, with limited consideration given to other types of statistical learning that may be relevant. Temporal associations between scale degrees represent a different type of information present in musical melodies that can be learned from musical corpora using expectation networks, a computationally simple method based on activation and decay. Expectation networks infer the expectation of encountering one scale degree followed in the near (but not necessarily immediate) future by another given scale degree, with previous work suggesting that scale degree associations learned by expectation networks better predict listener ratings of pitch similarity than transition probabilities. The current work outlines how these learned scale degree associations can be combined to predict melodic continuations and tests the resulting predictions on a dataset of listener responses to a musical cloze task previously used to compare two other models of melodic expectation, a variable-order Markov model (IDyOM) and Temperley's music-theoretically motivated model. Under multinomial logistic regression, all three models explain significant unique variance in human melodic expectations, with coefficient estimates highest for expectation networks. These results suggest that generalized scale degree associations informed by both adjacent and nonadjacent relationships between melodic notes influence listeners’ melodic predictions above and beyond n-gram context, highlighting the need to consider a broader range of statistical learning processes that may underlie listeners’ expectations for upcoming musical events.