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首页> 外文期刊>Neuropsychologia >The processing of good-fit semantic anomalies: An ERP investigation
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The processing of good-fit semantic anomalies: An ERP investigation

机译：良好语义异常的处理：ERP调查

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The failure-to-detect good-fit semantic anomalies is taken as evidence for shallow semantic processing, however the cognitive mechanisms involved are not well understood. To investigate this we recorded event-related potentials (ERPs) to sentences that contained good and poor-fit semantic anomalies and non-anomalous controls. Detected good-fit anomalies elicited an N400 effect when detection accuracy was stressed, indicating the registration of the anomaly. ERP analyses further ruled out that anomaly non-/detection is due to differences in initial word encoding or in processing prior contextual information. In addition, starting in the P2 interval, the ERP waveform was less positive for non-detected than detected anomalies and non-anomalous controls, presumably reflecting a language-driven modulation of visual input processing. And finally, detection of good-fit anomalies may also depend on the integration of sentential information into the discourse model at the end of the critical sentence. Overall, present findings support the shallow processing account of anomaly detection failure.
机译：无法检测到的良好拟合语义异常被用作浅层语义处理的证据，但是所涉及的认知机制尚未得到很好的理解。为了对此进行调查，我们将事件相关电位（ERP）记录到包含良好和不良匹配语义异常以及非异常控制的句子中。当强调检测精度时，检测到的良好异常会引发N400效应，表明异常的记录。 ERP分析进一步排除了异常非检测是由于初始单词编码或处理先前上下文信息方面的差异。此外，从P2间隔开始，未检测到的ERP波形比检测到的异常和非异常控件的正波形要弱，大概反映了视觉输入处理的语言驱动调制。最后，良好匹配异常的检测也可能取决于关键句末尾将句子信息整合到语篇模型中。总体而言，目前的发现支持对异常检测失败的浅层处理。

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