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神经同步决定我们听到的词语。

Neural Entrainment Determines the Words We Hear.

机构信息

Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Radboud University, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands; Lyon Neuroscience Research Center (CRNL), Brain Dynamics and Cognition Team, INSERM U1028, CNRS UMR5292, Université Claude Bernard Lyon 1, Lyon, France.

Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Radboud University, Donders Institute for Brain, Cognition, and Behaviour, Nijmegen, the Netherlands.

出版信息

Curr Biol. 2018 Sep 24;28(18):2867-2875.e3. doi: 10.1016/j.cub.2018.07.023. Epub 2018 Sep 6.

Abstract

Low-frequency neural entrainment to rhythmic input has been hypothesized as a canonical mechanism that shapes sensory perception in time. Neural entrainment is deemed particularly relevant for speech analysis, as it would contribute to the extraction of discrete linguistic elements from continuous acoustic signals. However, its causal influence in speech perception has been difficult to establish. Here, we provide evidence that oscillations build temporal predictions about the duration of speech tokens that affect perception. Using magnetoencephalography (MEG), we studied neural dynamics during listening to sentences that changed in speech rate. We observed neural entrainment to preceding speech rhythms persisting for several cycles after the change in rate. The sustained entrainment was associated with changes in the perceived duration of the last word's vowel, resulting in the perception of words with different meanings. These findings support oscillatory models of speech processing, suggesting that neural oscillations actively shape speech perception.

摘要

低频神经节律对节奏输入的同步作用被假设为一种规范机制,它可以在时间上塑造感官知觉。神经同步被认为对语音分析特别重要,因为它有助于从连续的声学信号中提取离散的语言元素。然而,它在语音感知中的因果影响很难确定。在这里,我们提供的证据表明,震荡会对语音标记的持续时间建立时间预测,从而影响感知。使用脑磁图(MEG),我们在听语速变化的句子时研究了神经动力学。我们观察到,在语速变化后,先前的语音节奏仍然会持续几个周期的神经同步。持续的同步与最后一个单词元音的感知持续时间的变化有关,导致对具有不同含义的单词的感知。这些发现支持了语音处理的震荡模型,表明神经震荡积极地塑造了语音感知。

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