400奈米
启动(农业)
心理学
重复(修辞手法)
重复启动
语言学
适应(眼睛)
事件相关电位
认知心理学
对比度(视觉)
多语种神经科学
词汇判断任务
认知
计算机科学
神经科学
人工智能
哲学
植物
发芽
生物
作者
Natalie A. Phillips,Denise Klein,Julie Mercier,Chloé de Boysson
出处
期刊:Brain Research
[Elsevier]
日期:2006-12-01
卷期号:1125 (1): 116-131
被引量:46
标识
DOI:10.1016/j.brainres.2006.10.002
摘要
Motivated by the demonstration of similarly localized adaptation of the hemodynamic response in a first (L1) and second (L2) language, this study examined event-related brain potentials (ERPs) to spoken words in L1 and L2 in 15 English–French bilinguals. We examined whether the temporal pattern of N400 adaptation due to within-language repetitions (i.e., repetition priming) was similar in L1 and L2 and whether the release from adaptation elicited by a within-language word change was similar. Furthermore, using word changes across language, we examined the phonological mismatch negativity (PMN) and N400 components to determine the kind of information activated during translation priming. In contrast to within-language repetition, we expected between-language repetition (i.e., translations) to be characterized by conceptual rather than lexical/phonological word form priming. Overall, the pattern of adaptation and release from adaptation was similar in L1 and L2, with evidence of delayed semantic analysis in L2 in the form of a later N400 effect. A change in language (L1 to L2) elicited a similar pattern of PMN and N400 activity compared to a within-language change in meaning in L1, suggesting that neither word form nor conceptual information was available on-line for the forward translation. In contrast, the presence of strong PMN but minimal N400 effects for L2-to-L1 translations suggests that conceptual but not phonological information is available on-line for backwards translation. L2 proficiency influenced the extent to which conceptual representations were activated by translations. These data are discussed in light of current models of bilingual word processing and suggest modality differences in the pattern of activation of lexical and conceptual information.
科研通智能强力驱动
Strongly Powered by AbleSci AI