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An ERP study of structural anomalies in native and semantic free artificial grammar: Evidence for shared processing mechanisms

机译:ERP研究中的本机和语义免费人工语法中的结构异常:共享处理机制的证据

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摘要

Artificial grammars have been widely applied to the study of sequential learning in language, but few studies have directly compared the neural correlates of artificial and native grammar processing. In this study, we examined Event Related Potentials (ERPs) elicited by structural anomalies in semantic-free artificial grammar sequences and sentences in the subjects' native language (Spanish). Although ERPs differed during early stages, we observed similar posterior negativities (N400) and P600 effects in a late stage. We interpret these results as evidence of at least partially shared neural mechanisms for processing of language and artificial grammars. We suggest that in both the natural and artificial grammars, the N400 and P600 components we observed can be explained as the result of unfulfilled predictions about incoming stimuli.
机译:人工语法已广泛应用于语言顺序学习的研究中,但是很少有研究直接比较人工和本地语法处理的神经相关性。在这项研究中,我们研究了由主题的母语(西班牙语)构成的无语义人工语法序列和句子中的结构异常引发的事件相关电位(ERP)。尽管ERP在早期阶段有所不同,但在后期阶段我们观察到类似的后阴性(N400)和P600效应。我们将这些结果解释为至少部分共享的用于语言和人工语法处理的神经机制的证据。我们建议,在自然和人工语法中,我们观察到的N400和P600成分都可以解释为对传入刺激的未完成预测的结果。

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