在面部选择性区域解码面部表情的时间表示
Zhihao Zhang1, Tong Chen2, Ye Liu1
1State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China.
NeuroImage
|November 5, 2023
概括
人类大脑通过专门的区域快速处理面部表情. 侧皮质 (LO-面) 和下皮质 (IP-面) 比其他区域更早,更准确地对情绪进行解码.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
背景情况:
- 面部表情识别对于社交互动至关重要.
- 在分布式的面部选择性区域中的快速神经计算是这种能力的基础.
研究的目的:
- 调查面部表情歧视期间面部选择性区域神经反应的时间动态.
- 确定这些地区处理的信息的性质.
主要方法:
- 磁脑电图 (MEG) 用于测量神经对面部表情的反应.
- 时间解析解码分析了特定面部选择区域 (LO-面,IP-面,FG-面,PSTS-面) 中的神经活动.
- 卷积神经网络 (CNN) 进行了神经反应和刺激表现之间的相似性分析.
主要成果:
- 面部表情从神经数据中分类,从刺激开始后大约100-150毫秒开始.
- 与FG面和PSTS面相比,LO面和IP面的分类准确度更高.
- 在LO-faces和IP-faces中神经反应与深层情感类别表示比低层图像特征更相关.
结论:
- LO-面和IP-面对于早期和准确的面部表情歧视至关重要.
- 这些区域处理的是抽象的情感信息,而不仅仅是视觉特征.
- 在LO-faces和IP-faces中,行为表现和神经活动之间存在联系.
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