词汇表征和概念表征的相互作用:来自脑电图的证据

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Z. Eviatar, Nahal Binur, O. Peleg
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引用次数: 0

摘要

我们研究了意义是否会自动激活语言形式,以及这些形式是否会影响语义决定。参与者按顺序呈现成对的图片,并判断图片中的物体是否相关。他们没有给这些照片起名字。实验刺激的对象名称在正字法(同音异义字)、音系学(同音异义字)或两者(同音异义字)上有歧义,或无歧义。我们表明,除了离线行为测量外,在线测量(N400)中对象名称的词汇特征还会影响对现实世界关系的语义决策。我们发现概念和词汇识别之间存在分离,其中早期成分(N230)受相关性影响,但对词汇特征不敏感。我们将此解释为支持语义识别发生在对象名称的自动词汇激活之前的假设,但一旦语言表征被激活,它们就会影响语义整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interactions of lexical and conceptual representations: Evidence from EEG
We examined whether meanings automatically activate linguistic forms, and whether these forms affect semantic decisions. Participants were presented sequentially with pairs of pictures and decided whether the objects in the pictures were related. At no point did they name the pictures. The object names of the experimental stimuli were ambiguous either in orthography (homographs), phonology (homophones), or both (homonyms), or unambiguous. We show that the lexical characteristics of the name of the objects affect a semantic decision about real world relations, in an online measure (N400), in addition to offline behavioral measures. We show a dissociation between conceptual and lexical recognition, where an earlier component (N230), was affected by relatedness, but was not sensitive to the lexical characteristics. We interpret this as supporting the hypothesis that semantic recognition occurs before the automatic lexical activation of the object name, but that once linguistic representations are activated, they affect semantic integration.
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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