论文部分内容阅读
面孔识别的ERP研究中,P100和N170是两个早期的成分。其中,P100对加工对象的类别敏感,能区分出面孔与非面孔;N170反映了面孔早期选择编码的操作,受面孔选择、面孔熟悉度和被试的性别因素的影响。尽管研究的结果存在异同,但P100与N170被公认为是人类面孔识别研究中最受关注的ERP早期成分,对相关文献进行梳理,有助于丰富面孔识别理论。此外,由于面孔识别的ERP研究有广阔的发展前景,综述已有的成果能明晰以后研究的发展方向。
In face recognition ERP studies, P100 and N170 are two early components. Among them, P100 is sensitive to the type of the object, can distinguish between face and non-face; N170 reflects the face of the early selection of encoding operations, depending on the face selection, face familiarity and subjects of gender factors. Although there are similarities and differences in the results of the research, P100 and N170 are recognized as the most important ERP components in the research of human face recognition. Combing the relevant literature helps to enrich the theory of face recognition. In addition, since the research of face recognition ERP has broad prospects for development, reviewing the existing achievements can clarify the direction of future research.