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分类训练会改变面部身份的视觉表征。

Categorization training changes the visual representation of face identity.

作者信息

Soto Fabian A

机构信息

Department of Psychology, Florida International University, 11200 SW 8th St, AHC4 460, Miami, FL, 33199, USA.

出版信息

Atten Percept Psychophys. 2019 Jul;81(5):1220-1227. doi: 10.3758/s13414-019-01765-w.

DOI:10.3758/s13414-019-01765-w
PMID:31152373
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6703175/
Abstract

Previous research suggests that learning to categorize faces along a new dimension changes the perceptual representation of that dimension, but little is known about how the representation of specific face identities changes after such category learning. Here, we trained participants to categorize faces that varied along two morphing dimensions. One dimension was relevant to the categorization task and the other was irrelevant. We used reverse correlation to estimate the internal templates used to identify the two faces at the extremes of the relevant dimension, both before and after training, and at two different levels of the irrelevant dimension. Categorization training changed the internal templates used for face identification, even though identification and categorization tasks impose different demands on the observers. After categorization training, the internal templates became more invariant across changes in the irrelevant dimension. These results suggest that the representation of face identity can be modified by categorization experience.

摘要

先前的研究表明,学会沿着一个新维度对面部进行分类会改变该维度的感知表征,但对于在这种类别学习后特定面部身份的表征如何变化却知之甚少。在这里,我们训练参与者对沿着两个变形维度变化的面部进行分类。一个维度与分类任务相关,另一个维度无关。我们使用反向相关来估计在训练前和训练后以及在无关维度的两个不同水平上用于识别相关维度两端的两张面孔的内部模板。分类训练改变了用于面部识别的内部模板,即使识别和分类任务对观察者提出了不同的要求。分类训练后,内部模板在无关维度的变化中变得更加不变。这些结果表明,面部身份的表征可以通过分类经验来修改。