基本情绪的电生理活动:来自ERP的证据  

Electrophysiological Activity of Basic Emotions:Evidences from ERP

作　　者：梁飞 李红[1] 王福顺 LIANG Fei;LI Hong;WANG Fu-shun(Institute of Brain and Psychological Sciences,Sichuan Normal University,Chengdu 610066,China)

机构地区：[1]四川师范大学脑与心理科学研究院,成都610066

出　　处：《应用心理学》2021年第1期42-56,共15页Chinese Journal of Applied Psychology

基　　金：教育部人文社科基金(19YJAZH083)。

摘　　要：基本情绪理论认为人类的情绪是由有限的几种基本的情绪组成,如快乐、愤怒、恐惧、悲伤等。使用脑功能成像技术来探讨基本情绪的独特神经结构所得出的结果很复杂,不能支持基本情绪理论;原因之一可能是情绪具有短暂性和易变性的特点,而EEG因高时间分辨率或许有助于解决该问题。本文探讨了基本情绪及其诱发方法、EEG的应用价值,对基本情绪相关的几种ERP成分及其特征进行归纳,提出用EEG结合人工智能来为基本情绪理论研究提供新思路。The basic emotion theory proposes that human emotions are composed of a limited number of primary emotions,such as happiness,anger,fear,and sadness.However,previous studies using brain functional imaging in exploring the unique neural structure of basic emotions tend to show complex results,which cannot support the basic emotions theory.Given that emotions are transient and mutable,EEG,with its high temporal resolution,may help solve this problem.This paper discusses the basic emotion elicitation techniques and the application value of EEG,summarizes several ERP components related to basic emotions and their characteristics.Also,the research design of combining EEG with artificial intelligence to provide new ideas for basic emotion theory is proposed.

关 键 词：基本情绪 ERP 情绪诱发方法 机器视觉 人工智能 

分 类 号：B842.6[哲学宗教—基础心理学]