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Post published on Twitter/X on 25 Oct 2020 13:52

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Nicholas M. Blauch, Marlene Behrmann, David C. Plaut (2021). Deep learning of shared perceptual representations for familiar and unfamiliar faces: Reply to commentaries. Cognition, 208, 104484. Elsevier BV.

Publication date
March 2021
Identifier
10.1016/j.cognition.2020.104484
Authors
Nicholas M. Blauch, Marlene Behrmann, David C. Plaut
Source
Cognition
Details
208, 104484
Reference type
article
Publisher
Elsevier BV
Metadata source
crossref

Abstract

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.

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