Program in Neural Computation, Carnegie Mellon University, United States; Neuroscience Institute, Carnegie Mellon University, United States.
Neuroscience Institute, Carnegie Mellon University, United States; Department of Psychology, Carnegie Mellon University, United States.
Cognition. 2021 Mar;208:104484. doi: 10.1016/j.cognition.2020.104484. Epub 2020 Oct 24.
We recently argued that human unfamiliar face identity perception reflects substantial perceptual expertise, and that the advantage for familiar over unfamiliar face identity matching reflects a learned mapping between generic high-level perceptual features and a unique identity representation of each individual (Blauch, Behrmann and Plaut, 2020). Here we respond to two commentaries by Young and Burton (2020) and Yovel and Abudarham (2020), clarifying and elaborating our stance on various theoretical issues, and discussing topics for future research in human face recognition and the learning of perceptual representations.
我们最近提出，人类对陌生面孔身份的感知反映了大量的感知专长，而熟悉面孔身份匹配的优势反映了在通用高层感知特征和每个人独特身份表示之间的一种习得映射（Blauch、Behrmann 和 Plaut，2020）。在这里，我们对 Young 和 Burton（2020）以及 Yovel 和 Abudarham（2020）的两篇评论做出回应，澄清和阐述了我们在各种理论问题上的立场，并讨论了人类面孔识别和感知表示学习方面的未来研究主题。
