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
2秒前
yolee发布了新的文献求助20
3秒前
volvoamg发布了新的文献求助10
4秒前
lizishu给研友_ZGmVjL的求助进行了留言
5秒前
6秒前
Tamer发布了新的文献求助10
7秒前
7秒前
桐桐应助Xx采纳,获得10
8秒前
Hydroxyl_Chen发布了新的文献求助10
9秒前
顺意发布了新的文献求助10
10秒前
12秒前
快乐随心完成签到 ,获得积分10
15秒前
15秒前
初景应助小辛采纳,获得20
16秒前
canter发布了新的文献求助10
17秒前
脑洞疼应助无限晓蓝采纳,获得10
20秒前
冷静菠萝发布了新的文献求助80
20秒前
学习完成签到 ,获得积分10
22秒前
once给once的求助进行了留言
22秒前
23秒前
27秒前
陌上花开完成签到,获得积分0
28秒前
Owen应助橙子采纳,获得10
28秒前
无限晓蓝完成签到,获得积分10
28秒前
成就的咖啡完成签到,获得积分10
29秒前
Murphy完成签到,获得积分10
30秒前
你不对劲007完成签到,获得积分10
32秒前
sunny123发布了新的文献求助20
36秒前
圈儿完成签到,获得积分10
38秒前
Axel驳回了Hello应助
39秒前
40秒前
香翔想相完成签到,获得积分10
42秒前
once发布了新的文献求助10
44秒前
如意千雁发布了新的文献求助10
46秒前
哈哈哈完成签到 ,获得积分10
48秒前
酷波er应助小包采纳,获得10
48秒前
CipherSage应助认真的焦采纳,获得10
48秒前
共享精神应助暴躁的大侠采纳,获得10
49秒前
在水一方应助juzi采纳,获得10
50秒前
英姑应助无期采纳,获得10
50秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 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
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
The Immune System (Fifth Edition) 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6568014
求助须知:如何正确求助?哪些是违规求助? 8347690
关于积分的说明 17885109
捐赠科研通 5694755
什么是DOI,文献DOI怎么找? 2943966
邀请新用户注册赠送积分活动 1919855
关于科研通互助平台的介绍 1795751