Abstract：
Valentine\'s influential norm-based multidimensional face-space model (nMDFS) predicts that perceived distinctiveness of a face increases with its distance to the norm. Occipito-temporal event-related potentials (ERPs) have been recently shown to respond selectively to variations in distance-to-norm (P200) or familiarity (N250, late negativity), respectively (Wuttke & Schweinberger, 2019). Despite growing evidence on interindividual differences in face perception skills at the behavioral level, little research has focused on their electrophysiological correlates. To reveal potential interindividual differences in face spaces, we contrasted high and low performers in face recognition in regards to distance-to-norm (P200) and familiarity (N250). We replicated both the P200 distance-to-norm and the N250 familiarity effect. Importantly, we observed: i) reduced responses in low compared to high performers of face recognition, especially in terms of smaller distance-to-norm effects in the P200, possibly indicating less \'expanded\' face spaces in low compared to high performers; ii) increased N250 responses to familiar original faces in high performers, suggesting more robust face identity representations. In summary, these findings suggest the contribution of both early norm-based face coding and robust face representations to individual face recognition skills, and indicate that ERPs can offer a promising route to understand individual differences in face perception and their neurocognitive correlates.
摘要：
Valentine的有影响力的基于范数的多维人脸空间模型（nMDFS）预测，感知的独特性随着与范数的距离而增加。最近已显示出枕骨-时间事件相关电位（ERP）对距离-范数（P200）或熟悉度（N250，晚期负性）的变化有选择性地做出反应，分别(Wuttke&Schweinberger，2019)。尽管越来越多的证据表明，行为层面的面部感知技能存在个体差异，很少有研究关注它们的电生理相关性。为了揭示人脸空间中潜在的个体差异，我们对比了高和低表演者在人脸识别方面的距离-正常（P200）和熟悉度（N250）。我们复制了P200与规范的距离和N250熟悉度效应。重要的是,我们观察到：i)与面部识别的高性能者相比，响应较低，特别是在P200中较小的距离到规范的影响方面，可能表明与高表演者相比，低的“扩展”面部空间较少；ii）增加了N250对高表演者熟悉的原始面孔的响应，建议更健壮的面部身份表征。总之,这些发现表明，早期基于规范的面部编码和鲁棒的面部表示对个人面部识别技能的贡献，并表明ERPs可以提供一种有希望的途径来理解面部感知及其神经认知相关的个体差异。
