ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2020, Vol. 28 ›› Issue (9): 1525-1538.doi: 10.3724/SP.J.1042.2020.01525

• 研究前沿 • 上一篇    下一篇

统计学习的认知神经机制及其与语言的关系

徐贵平1,2, 范若琳3, 金花4,5,6()   

  1. 1暨南大学华文学院
    2暨南大学应用语言学研究院, 广州 510610
    3广东金融学院公共管理学院, 广州 510521
    4教育部人文社会科学重点研究基地天津师范大学心理与行为研究院
    5天津师范大学心理学部
    6国民心理健康评估与促进协同创新中心, 天津 300387
  • 收稿日期:2019-09-05 出版日期:2020-09-15 发布日期:2020-07-24
  • 通讯作者: 金花 E-mail:jennyjin2@163.com
  • 基金资助:
    * 国家自然科学基金青年项目(31900778);国家留学基金(留金项[2018]10038号);暨南大学华文学院发展基金(2019FZJJYB12)

The cognitive and neural mechanisms of statistical learning and its relationship with language

XU Guiping1,2, FAN Ruolin3, JIN Hua4,5,6()   

  1. 1College of Chinese Language and Culture
    2Institute of Applied Linguistics, Jinan University, Guangzhou, 510610, China
    3School of Public Administration, Guangdong University of Finance, Guangzhou, 510521, China
    4Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University
    5Faculty of Psychology, Tianjin Normal University
    6Center of Collaborative Innovation for Assessment and Promotion of Mental Health, Tianjin, 300387, China
  • Received:2019-09-05 Online:2020-09-15 Published:2020-07-24
  • Contact: JIN Hua E-mail:jennyjin2@163.com

摘要:

统计学习是指个体在连续刺激流中发现转移概率等统计规律的过程, 在Saffran等(1996)的经典婴儿语音切分研究中首次被提出。大量研究证实了统计学习的普遍存在, 近期学界开始关注统计学习的特异性及其对认知的影响, 尤其是从学习过程及其特异性两个方面阐述统计学习的认知神经机制并揭示其和语言的交互作用。未来应从脑和行为的多模态数据视角, 丰富统计学习结果的行为和神经指标, 考察不同类型统计学习过程的动态神经活动模式, 建立统计学习行为和脑的关联, 深化对统计学习认知神经机制的认识, 在统计学习与语言交互作用的基础上, 从成人二语学习切入结合音乐统计学习训练探讨促进语言学习的统计学习干预手段。

关键词: 统计学习, 转移概率, 特异性, 语言, 多模态数据

Abstract:

Statistical learning (SL), which was first addressed in the seminal study on speech segmentation of infants by Saffran et al. (1996), is a process of detecting the statistical regularities such as transitional probability in continuous flow of stimuli. Previous studies have proven the general existence of SL, and in recent years close attention has been placed on its specificity and its impact on other cognitive activities, especially revealing the cognitive neural mechanisms of SL and its interaction with language by exploring the process and the specificity of SL. According to the multimodal data from brain and behavior measures, future studies should seek more behavioral and neural indexes to evaluate the performance of SL, to explore the dynamic changes in neural activities of different types of SL and to construct the connection between neural correlates and behavioral performance, which will help to have an in-depth understanding of SL. Based on previous discoveries on the interaction between SL and language, future studies could determine whether SL is an effective intervention to improve language acquisition and how it works in the improvement, through exploring the effect of music SL training on second language learning of adult learners.

Key words: statistical learning, transitional probability, specificity, language, multimodal data

中图分类号: