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A Thousand Words Are Worth a Picture: Snapshots of Printed-Word Processing in an Event-Related Potential Megastudy

机译:成千上万的单词值得一看:与事件相关的潜在宏研究中的印刷字处理快照

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摘要

In the experiment reported here, approximately 1,000 words were presented to 75 participants in a goo-go lexical decision task while event-related potentials (ERPs) were recorded. Partial correlations were computed for variables selected to reflect orthographic, lexical, and semantic processing, as well as for a novel measure of the visual complexity of written words. Correlations were based on the item-level ERPs at each electrode site and time slice while a false-discovery-rate correction was applied. Early effects of visual complexity were seen around 50 ms after word onset, followed by the earliest sustained orthographic effects around 100 to 150 ms, with the bulk of orthographic and lexical influences arising after 200 ms. Effects of a semantic variable (concreteness) emerged later, at around 300 ms. The overall time course of these ERP effects is in line with hierarchical, cascaded, interactive accounts of word recognition, in which fast feed-forward influences are consolidated by top-down feedback via recurrent processing loops.
机译:在这里报告的实验中,在进行/不进行词汇决策任务时,向75名参与者提供了大约1,000个单词,同时记录了与事件相关的电位(ERP)。计算了部分相关性,这些相关性是针对选择来反映字形,词法和语义处理的变量以及对书面文字的视觉复杂性的新颖度量而计算的。相关性基于每个电极位置和时间片上的项目级ERP,同时应用了错误发现率校正。视觉复杂性的早期影响是在单词出现后约50 ms处看到的,其后是最早的持续正字法影响约100到150 ms,大部分字法和词法影响在200 ms之后出现。语义变量(具体性)的影响随后在300毫秒左右出现。这些ERP效果的整体时间过程与单词识别的分层,级联,交互式帐户一致,其中快速的前馈影响通过递归处理循环通过自上而下的反馈进行合并。

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