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Artificial observers and real individual differences: A roadmap for a computational psychometrics of vision

2026-06-20

Abstract excerpt

<p>Deep neural networks are increasingly used as models of vision, yet they are evaluated against the average observer: average human performance, average neural response, average representational geometry. This discards one of the richest constraints on theory: stable individual differences. Fitting the average is necessary but not sufficient. I argue that future models should be judged not only by their fit to m...

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Literature Corpus work
db8f1d7d-be57-532c-82c2-79de77761672
DOI
10.31234/osf.io/6vk3h_v1
Open publication

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Artificial observers and real individual differences: A roadmap for a computational psychometrics of visionDOI 10.31234/osf.io/6vk3h_v1
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