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 ›› 2011, Vol. 19 ›› Issue (1): 18-27.

• 博士论坛 • 上一篇    下一篇

人工类别学习的认知神经研究

陈安涛   

  1. 认知与人格教育部重点实验室(西南大学); 西南大学心理学院, 重庆, 400715
  • 收稿日期:2010-12-06 修回日期:1900-01-01 出版日期:2011-01-15 发布日期:2011-01-15
  • 通讯作者: 陈安涛

A Cognitive Neuroscience Study for Artifact Category Learning

CHEN An-Tao   

  1. Key Laboratory of Cognition and Personality of Ministry of Education (Southwest University);
    School of Psychology, Southwest University, Chongqing, 400715
  • Received:2010-12-06 Revised:1900-01-01 Online:2011-01-15 Published:2011-01-15
  • Contact: CHEN An-Tao

PDF (PC)

1529

被引次数

5

摘要： 基于类别学习包含类别归纳、分类和认知控制3个子过程的假设, 设计了人工类别学习的新任务, 利用高密度ERP技术并结合偶极子源分析, 从纵向和横向两个方面研究了人工类别学习的神经基础与机制。结果表明, 人工类别学习涉及前扣带回、前额叶皮质和内侧颞叶等关键脑区, 并在时间序列上显示了这些脑区扮演的不同作用。基于当前发现, 我们从时-空水平上讨论了的人工类别学习的认知神经机制。

关键词: 类别归纳, 分类, 认知控制, 晚期正成分(late positive complex)

Abstract: Based on the hypothesis that artifact category learning consists of category induction, categorization and cognitive control, we designed a new experimental task of artifact category learning. And then using high density event-related potentials and dipole source analysis, we investigate the neural basis and mechanism. The results showed that the anterior cingulate cortex, the prefrontal cortex and the medial temporal lobe are critical to complete artificial category learning tasks, and demonstrated that the different roles of these brain areas on temporal order. Accordingly, we constructed a cognitive neuroscience mechanism of artifact category learning from temporal and spatial dimensions.

Key words: category induction, categorization, cognitive control, late positive complex