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

页数：11

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