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Syllables in Sync Form a Link: Neural Phase-locking Reflects Word Knowledge during Language Learning

机译:Symlables同步形成链接:神经锁相锁定在语言学习期间反映了Word知识

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摘要

Language is composed of small building blocks, which combine to form larger meaningful structures. To understand language, we must process, track, and concatenate these building blocks into larger linguistic units as speech unfolds over time. An influential idea is that phase-locking of neural oscillations across different levels of linguistic structure provides a mechanism for this process. Building on this framework, the goal of the current study was to determine whether neural phase-locking occurs more robustly to novel linguistic items that are successfully learned and encoded into memory, compared to items that are not learned. Participants listened to a continuous speech stream composed of repeating nonsense words while their EEG was recorded and then performed a recognition test on the component words. Neural phase-locking to individual words during the learning period strongly predicted the strength of subsequent word knowledge, suggesting that neural phase-locking indexes the subjective perception of specific linguistic items during real-time language learning. These findings support neural oscillatory models of language, demonstrating that words that are successfully perceived as functional units are tracked by oscillatory activity at the matching word rate. In contrast, words that are not learned are processed merely as a sequence of unrelated syllables and thus not tracked by corresponding word-rate oscillations.
机译:语言由小型构建块组成,该块结合形成更大的有意义的结构。要了解语言,我们必须在演讲随时间展开时处理,跟踪和连接到更大的语言单位。一个有影响力的想法是,跨不同水平的语言结构锁相锁定为该过程提供了一种机制。在此框架上,目前研究的目标是确定神经锁相是否更加强大地发生在成功学习和编码到内存中的新颖语言项目,而不是未学习的项目。参与者听到了由重复无意义单词组成的连续语音流,同时记录其EEG,然后对组件单词进行识别测试。在学习期间,神经锁相锁定对个别词语强烈预测了随后的文字知识的强度,这表明神经锁相锁定在实时语言学习期间对特定语言项目的主观感知。这些调查结果支持语言的神经振荡模型,展示了以匹配字率以振荡活动跟踪成功被感知的单词。相反,不学习的单词仅作为一个不相关的音节序列处理,因此不被相应的字速率振荡跟踪。

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