EVENT-RELATED COMPLEXITY ANALYSIS AND ITS APPLICATION IN THE DETECTION OF FACIAL ATTRACTIVENESS

被引：13
|
作者：
Deng, Zhidong [1 ]
Zhang, Zimu [1 ]
机构：
[1] Tsinghua Univ, Dept Comp Sci, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China
来源：
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 2014年 / 24卷 / 07期
基金：
美国国家科学基金会;
关键词：
Event-related complexity; fractal dimension; event-related potential; facial attractiveness; oddball paradigm; WAVELET-CHAOS METHODOLOGY; EEG-BASED DIAGNOSIS; FRACTAL DIMENSION; GENDER-DIFFERENCES; BRAIN; SEIZURE; BEAUTY; FACES; TIME;
D O I：
10.1142/S0129065714500269
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, an event-related complexity (ERC) analysis method is proposed and used to explore the neural correlates of facial attractiveness detection in the context of a cognitive experiment. The ERC method gives a quantitative index for measuring the diverse brain activation properties that represent the neural correlates of event-related responses. This analysis reveals distinct effects of facial attractiveness processing and also provides further information that could not have been achieved from event-related potential alone.
引用
收藏
页数：11
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