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A model of face representation, inspired by the biology of the visual system,is compared to experimental data on the perception of facial similarity. Theface representation model uses aggregate primary visual cortex (V1) cellresponses topographically linked to a grid covering the face, allowingcomparison of shape and texture at corresponding points in two facial images.When a set of relatively similar faces was used as stimuli, this LinkedAggregate Code (LAC) predicted human performance in similarity judgmentexperiments. When faces of perceivable categories were used, dimensions such asapparent sex and race emerged from the LAC model without training. Thedimensional structure of the LAC similarity measure for the mixed category taskdisplayed some psychologically plausible features but also highlighteddifferences between the model and the human similarity judgements. The humanjudgements exhibited a racial perceptual bias that was not shared by the LACmodel. The results suggest that the LAC based similarity measure may offer afertile starting point for further modelling studies of face representation inhigher visual areas, including studies of the development of biases in faceperception.

A Linked Aggregate Code for Processing Faces (Revised Version)