Computational insights into human perceptual expertise for familiar and unfamiliar face recognition

doi:10.1016/j.cognition.2020.104341

Paper

DOI: 10.1016/j.cognition.2020.104341

Computational insights into human perceptual expertise for familiar and unfamiliar face recognition

Published Oct 24, 2019 · Nicholas M. Blauch, M. Behrmann, D. Plaut

Cognition

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

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Study Snapshot

Key takeawayFace training improves identity verification for unfamiliar faces, highlighting the generalization of identity-invariant information in face images.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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