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外部(相对于内部)面部特征在面部识别中对重复启动的贡献最大:事件相关电位证据。

External (Versus Internal) Facial Features Contribute Most to Repetition Priming in Facial Recognition: ERP Evidence.

作者信息

Nie Aiqing, Yu Yao

机构信息

Department of Psychology and Behavioral Sciences, 12377Zhejiang University, Hangzhou, China.

出版信息

Percept Mot Skills. 2021 Feb;128(1):15-47. doi: 10.1177/0031512520957150. Epub 2020 Sep 24.

Abstract

Previous event-related potential (ERP) research demonstrated four successive ERP components in the repetition priming of human face recognition: P100, N170, N250r, and N400. While these components correspond, respectively, to the four stages proposed by the interactive activation and competition (IAC) model, there has been no emphasis in past research on how internal and external facial features affect repetition priming and the sensitivity of these ERP components to item interval. This study was designed to address these issues. We used faces of celebrities as targets, including completely familiar faces, familiar internal feature faces, and familiar external feature faces. We displayed a target face either immediately following its prime (immediate repetition) or after a delay with interference from a presentation of two other faces (delayed repetition). ERP differences at P100 and N170 were nearly statistically non-significant; familiar faces and familiar external feature faces were associated with reliable ERP signals of N250r and N400 in the immediate repetition condition. For delayed repetition, however, N250r and N400 signals were only preserved for the familiar external feature faces. The differences of these ERP components suggest that, compared with internal facial features, external features of a previously presented face contribute more to brain-based facial repetition priming, particularly during the last two stages of the IAC model.

摘要

先前的事件相关电位(ERP)研究表明,在人脸识别的重复启动过程中会出现四个连续的ERP成分:P100、N170、N250r和N400。虽然这些成分分别对应于交互式激活与竞争(IAC)模型提出的四个阶段,但过去的研究并未着重探讨内部和外部面部特征如何影响重复启动以及这些ERP成分对项目间隔的敏感性。本研究旨在解决这些问题。我们使用名人面孔作为目标,包括完全熟悉的面孔、熟悉内部特征的面孔和熟悉外部特征的面孔。我们在启动面孔之后立即呈现目标面孔(即时重复),或者在延迟呈现另外两张面孔的干扰之后呈现目标面孔(延迟重复)。P100和N170处的ERP差异在统计学上几乎无显著意义;在即时重复条件下,熟悉的面孔和熟悉外部特征的面孔与可靠的N250r和N400的ERP信号相关。然而,对于延迟重复,N250r和N400信号仅在熟悉外部特征的面孔中保留。这些ERP成分的差异表明,与内部面部特征相比,先前呈现面孔的外部特征对基于大脑的面部重复启动贡献更大,尤其是在IAC模型的最后两个阶段。

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