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Real-time Functional Architecture of Visual Word Recognition

机译:视觉单词识别的实时功能架构

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摘要

Despite a century of research into visual word recognition, basic questions remain unresolved about the functional architecture of the process that maps visual inputs from orthographic analysis onto lexical form and meaning and about the units of analysis in terms of which these processes are conducted. Here we use magnetoencephalography, supported by a masked priming behavioral study, to address these questions using contrasting sets of simple (), complex (), and pseudo-complex () forms. Early analyses of orthographic structure, detectable in bilateral posterior temporal regions within a 150–230 msec time frame, are shown to segment the visual input into linguistic substrings (words and morphemes) that trigger lexical access in left middle temporal locations from 300 msec. These are primarily feedforward processes and are not initially constrained by lexical-level variables. Lexical constraints become significant from 390 msec, in both simple and complex words, with increased processing of pseudowords and pseudo-complex forms. These results, consistent with morpho-orthographic models based on masked priming data, map out the real-time functional architecture of visual word recognition, establishing basic feedforward processing relationships between orthographic form, morphological structure, and lexical meaning.
机译:尽管对视觉单词识别进行了一个世纪的研究,但有关将拼字分析的视觉输入映射到词汇形式和含义的过程的功能体系结构以及有关进行这些过程的分析单位的基本问题仍未解决。在这里,我们使用由屏蔽的启动行为研究支持的磁脑描记法,使用简单(),复杂()和伪复杂()形式的对比集来解决这些问题。正交结构的早期分析可在150-230毫秒的时间范围内的双边后颞区域中检测到,其显示将视觉输入分割为语言子串(单词和词素),这些词串从300毫秒触发左中颞位置的词法访问。这些主要是前馈过程,最初不受词法级变量的约束。从390毫秒开始,无论是简单单词还是复杂单词,词汇约束都变得越来越重要,同时增加了对伪单词和伪复杂形式的处理。这些结果与基于蒙版底纹数据的形态正字学模型一致,绘制了视觉单词识别的实时功能架构,建立了正字学形式,形态结构和词汇含义之间的基本前馈处理关系。

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