Distinct patterns of neural response to faces from different races in humans and deep networks.

Autor:	Wang A; Department of Psychology, University of York, York YO10 5DD, UK.; Department of Psychology, University of Southampton, Southampton SO17 1BJ, UK., Sliwinska MW; Department of Psychology, University of York, York YO10 5DD, UK.; School of Psychology, Liverpool John Moores University, Liverpool L2 2QP, UK., Watson DM; Department of Psychology, University of York, York YO10 5DD, UK., Smith S; Department of Psychology, University of York, York YO10 5DD, UK., Andrews TJ; Department of Psychology, University of York, York YO10 5DD, UK.
Jazyk:	angličtina
Zdroj:	Social cognitive and affective neuroscience [Soc Cogn Affect Neurosci] 2023 Nov 04; Vol. 18 (1).
DOI:	10.1093/scan/nsad059
Abstrakt:	Social categories such as the race or ethnicity of an individual are typically conveyed by the visual appearance of the face. The aim of this study was to explore how these differences in facial appearance are represented in human and artificial neural networks. First, we compared the similarity of faces from different races using a neural network trained to discriminate identity. We found that the differences between races were most evident in the fully connected layers of the network. Although these layers were also able to predict behavioural judgements of face identity from human participants, performance was biased toward White faces. Next, we measured the neural response in face-selective regions of the human brain to faces from different races in Asian and White participants. We found distinct patterns of response to faces from different races in face-selective regions. We also found that the spatial pattern of response was more consistent across participants for own-race compared to other-race faces. Together, these findings show that faces from different races elicit different patterns of response in human and artificial neural networks. These differences may underlie the ability to make categorical judgements and explain the behavioural advantage for the recognition of own-race faces. (© The Author(s) 2023. Published by Oxford University Press.)
Databáze:	MEDLINE
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