Bridging event-related potentials with behavioral studies in motor learning

被引:1
|
作者
Deng, Xueqian [1 ,2 ,3 ,4 ]
Yang, Chen [1 ]
Xu, Jingyue [5 ]
Liufu, Mengzhan [6 ]
Li, Zina [1 ]
Chen, Juan [1 ,2 ,3 ]
机构
[1] South China Normal Univ, Guangdong Key Lab Mental Hlth & Cognit Sci, Guangzhou, Peoples R China
[2] South China Normal Univ, Ctr Studies Psychol Applicat, Sch Psychol, Guangzhou, Peoples R China
[3] South China Normal Univ, Minist Educ, Key Lab Brain Cognit & Educ Sci, Guangzhou, Peoples R China
[4] Johns Hopkins Univ, Dept Neurol, Baltimore, MD 21218 USA
[5] Univ Calif San Diego, Dept Cognit Sci, La Jolla, CA USA
[6] Univ Chicago, Inst Mind & Biol, Chicago, IL USA
来源
FRONTIERS IN INTEGRATIVE NEUROSCIENCE | 2023年 / 17卷
关键词
error-related negativity (ERN); feedback-related negativity (FRN); event-related potential (ERP); explicit motor learning; implicit motor learning; task error; sensory prediction error; ERROR-DETECTION; SENSORY PREDICTION; NEURAL SYSTEM; ADAPTATION; FEEDBACK; TASK; COMPONENTS; EXPLICIT; STRATEGY;
D O I
10.3389/fnint.2023.1161918
中图分类号
B84 [心理学]; C [社会科学总论]; Q98 [人类学];
学科分类号
03 ; 0303 ; 030303 ; 04 ; 0402 ;
摘要
Behavioral approaches and electrophysiology in understanding human sensorimotor systems have both yielded substantial advancements in past decades. In fact, behavioral neuroscientists have found that motor learning involves the two distinct processes of the implicit and the explicit. Separately, they have also distinguished two kinds of errors that drive motor learning: sensory prediction error and task error. Scientists in electrophysiology, in addition, have discovered two motor-related, event-related potentials (ERPs): error-related negativity (ERN), and feedback-related negativity (FRN). However, there has been a lack of interchange between the two lines of research. This article, therefore, will survey through the literature in both directions, attempting to establish a bridge between these two fruitful lines of research.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] A framework for Interpretable deep learning in cross-subject detection of event-related potentials
    Jalilpour, Shayan
    Mueller-Putz, Gernot
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2025, 139
  • [22] STRONGLY FOCUSED ATTENTION AND AUDITORY EVENT-RELATED POTENTIALS
    ALHO, K
    TEDER, W
    LAVIKAINEN, J
    NAATANEN, R
    BIOLOGICAL PSYCHOLOGY, 1994, 38 (01) : 73 - 90
  • [23] A Novel Algorithm for Learning Sparse Spatio-Spectral Patterns for Event-Related Potentials
    Wu, Chaohua
    Lin, Ke
    Wu, Wei
    Gao, Xiaorong
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 28 (04) : 862 - 872
  • [24] COGNITIVE LOAD CHANGE IN CHEMICAL CONCEPT LEARNING: INSIGHTS FROM EVENT-RELATED POTENTIALS
    Ye, Jianqiang
    Gao, Junhua
    Lin, Tingting
    He, Kun
    Chen, Dimei
    JOURNAL OF BALTIC SCIENCE EDUCATION, 2025, 24 (01): : 92 - 104
  • [25] A direct brain interface based on event-related potentials
    Levine, SP
    Huggins, JE
    BeMent, SL
    Kushwaha, RK
    Schuh, LA
    Rohde, MM
    Passaro, EA
    Ross, DA
    Elisevich, KV
    Smith, BJ
    IEEE TRANSACTIONS ON REHABILITATION ENGINEERING, 2000, 8 (02): : 180 - 185
  • [26] The influence of bilingualism on working memory event-related potentials
    Morrison, Cassandra
    Kamal, Farooq
    Taler, Vanessa
    BILINGUALISM-LANGUAGE AND COGNITION, 2019, 22 (01) : 191 - 199
  • [27] Modulations of event-related potentials by tactile negative priming
    Wesslein, Ann-Katrin
    Naumann, Ewald
    Spence, Charles
    Frings, Christian
    NEUROREPORT, 2019, 30 (03) : 227 - 231
  • [28] Event-related potentials elicited by spoken relative clauses
    Muller, HM
    King, JW
    Kutas, M
    COGNITIVE BRAIN RESEARCH, 1997, 5 (03): : 193 - 203
  • [29] Signal-adaptive denoising of event-related potentials
    Leistritz, Lutz
    Ligges, Carolin
    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 3096 - 3099
  • [30] Agency attribution: event-related potentials and outcome monitoring
    Bednark, Jeffery G.
    Franz, Elizabeth A.
    EXPERIMENTAL BRAIN RESEARCH, 2014, 232 (04) : 1117 - 1126