ERP Evidences of Rapid Semantic Learning in Foreign Language Word Comprehension

400奈米 600页 计算机科学 刺激(心理学) 语义记忆 心理学 事件相关电位 自然语言处理 第一语言 人工智能 认知心理学
作者
Akshara Soman,Prathibha Ramachandran,Sriram Ganapathy
出处
期刊:Frontiers in Neuroscience [Frontiers Media]
卷期号:16
标识
DOI:10.3389/fnins.2022.763324
摘要

The event-related potential (ERP) of electroencephalography (EEG) signals has been well studied in the case of native language speech comprehension using semantically matched and mis-matched end-words. The presence of semantic incongruity in the audio stimulus elicits a N400 component in the ERP waveform. However, it is unclear whether the semantic dissimilarity effects in ERP also appear for foreign language words that were learned in a rapid language learning task. In this study, we introduced the semantics of Japanese words to subjects who had no prior exposure to Japanese language. Following this language learning task, we performed ERP analysis using English sentences of semantically matched and mis-matched nature where the end-words were replaced with their Japanese counterparts. The ERP analysis revealed that, even with a short learning cycle, the semantically matched and mis-matched end-words elicited different EEG patterns (similar to the native language case). However, the patterns seen for the newly learnt word stimuli showed the presence of P600 component (delayed and opposite in polarity to those seen in the known language). A topographical analysis revealed that P600 responses were pre-dominantly observed in the parietal region and in the left hemisphere. The absence of N400 component in this rapid learning task can be considered as evidence for its association with long-term memory processing. Further, the ERP waveform for the Japanese end-words, prior to semantic learning, showed a P3a component owing to the subject's reaction to a novel stimulus. These differences were more pronounced in the centro-parietal scalp electrodes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
虚幻芸遥发布了新的文献求助30
刚刚
火星上的绿蕊完成签到,获得积分10
1秒前
受伤南松完成签到,获得积分10
1秒前
molihuakai应助岛L采纳,获得10
2秒前
ww发布了新的文献求助10
2秒前
2秒前
Garland发布了新的文献求助10
2秒前
2秒前
贝贝发布了新的文献求助10
2秒前
张欢馨应助玄鸟纸鸢采纳,获得10
2秒前
3秒前
传奇3应助成成采纳,获得10
3秒前
3秒前
ming发布了新的文献求助50
4秒前
4秒前
考考是我完成签到,获得积分10
4秒前
汉堡包应助gry采纳,获得10
4秒前
zqz完成签到,获得积分10
4秒前
远方完成签到,获得积分10
5秒前
rrr发布了新的文献求助20
5秒前
5秒前
5秒前
6秒前
liubowen发布了新的文献求助20
6秒前
silstorm发布了新的文献求助10
6秒前
彼方完成签到,获得积分10
7秒前
孜然完成签到,获得积分10
7秒前
stevenli发布了新的文献求助10
8秒前
豆豆完成签到,获得积分10
9秒前
大模型应助潇潇采纳,获得10
9秒前
10秒前
10秒前
11秒前
断罪菌完成签到,获得积分10
11秒前
SBoot完成签到,获得积分10
11秒前
长樂关注了科研通微信公众号
12秒前
Orange应助曹健采纳,获得50
12秒前
TT完成签到,获得积分10
12秒前
开朗的访彤完成签到,获得积分20
12秒前
无情麦片完成签到 ,获得积分10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
政治传播过程中的外交与说服——以中苏友好协会为例的历史考察 566
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7580487
求助须知:如何正确求助?哪些是违规求助? 9160013
关于积分的说明 19597358
捐赠科研通 7163177
什么是DOI,文献DOI怎么找? 3265875
关于科研通互助平台的介绍 2430799
邀请新用户注册赠送积分活动 2256848