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首页> 外文期刊>Frontiers in Psychology >Neural Mechanisms of Rapid Sensitivity to Syntactic Anomaly
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Neural Mechanisms of Rapid Sensitivity to Syntactic Anomaly

机译:对句法异常快速敏感的神经机制

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Recent psycholinguistic models hypothesize that anticipatory processing can speed the response to linguistic input during language comprehension by pre-activating representations necessary for word recognition. We investigated the neurocognitive mechanisms of anticipatory processing by recording event-related potentials (ERPs) to syntactically anomalous (The thief was caught by for police) and well-formed (e.g., The thief was caught by the police) sentences. One group of participants saw anomalies elicited by the same word in every instance (e.g., for; low-variability stimuli), providing high affordances for predictions about the word-form appearing in the critical position. A second group saw anomalies elicited by seven different prepositions (at, of, on, for, from, over, with; high-variability stimuli) across the study, creating a more difficult prediction task. Syntactic category anomalies enhanced the occipital-temporal N170 component of the ERP, indicating rapid sensitivity – within 200 ms of word-onset – to syntactic anomaly. For low-variability but not the high-variability stimuli, syntactic anomaly also enhanced the earlier occipital-temporal P1 component, around 130 ms after word-onset, indicating that affordances for prediction engendered earlier sensitivity to syntactic anomaly. Independent components analysis revealed three sources within the ERP signal whose functional dynamics were consistent with predictive processing and early responses to syntactic anomaly. Distributed neural source modeling (sLORETA) of these early active sources produced a candidate network for early responses to words during reading in the right posterior occipital, left occipital-temporal, and medial parietal cortex.
机译:最近的心理语言模型假设,预期处理可以通过预激活单词识别所必需的表示来加快语言理解过程中对语言输入的响应。我们通过记录事件相关电位(ERP)到句法异常(小偷被警察抓获)和格式良好(例如小偷被警察抓获)的句子,研究了预期处理的神经认知机制。一组参与者看到了在每种情况下同一单词引起的异常(例如,低变异性刺激),为预测出现在关键位置的单词形式提供了很高的承受力。第二组观察到整个研究中由七个不同介词(高变异性刺激,在其之上,在其之上,由其过度,具有高可变性刺激)引起的异常,从而产生了更加困难的预测任务。句法类别异常增强了ERP的枕颞N170组件,表明在词发200毫秒内对句法异常具有快速敏感性。对于低变异性而不是高变异性刺激,句法异常还增强了词后发病后约130μms的早期枕颞P1成分,这表明预测能力使对语法异常的敏感性提高。独立成分分析揭示了ERP信号中的三个来源,其功能动态与预测处理和对语法异常的早期响应一致。这些早期活动源的分布式神经源建模(sLORETA)产生了一个候选网络,用于在右后枕叶,左枕颞叶和内侧顶叶皮层阅读期间对单词进行早期响应。

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