Subcortical regions of the human visual system do not process faces holistically
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Updated: Nov 7, 2025

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Rebeka C Almasi1, Marlene Behrmann1
1Department of Psychology and Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Abstract:
Face perception is considered to be evolutionarily adaptive and conserved across species. While subcortical visual brain areas are implicated in face perception based on existing evidence from phylogenetic and ontogenetic studies, whether these subcortical structures contribute to more complex visual computations such as the holistic processing (HP) of faces in humans is unknown. To address this issue, we used a well-established marker of HP, the composite face effect (CFE), with a group of adult human observers, and presented two sequential faces in a trial monocularly or interocularly using a Wheatstone stereoscope. HP refers to the finding that two identical top (or bottom) halves of a face are judged to be different when their task-irrelevant bottom (or top) halves belong to different faces. Because humans process faces holistically, they are unable to ignore the information from the irrelevant half of the composite face, and this is true to an even greater extent when the two halves of the faces are aligned compared with when they are misaligned ('Alignment effect'). The results revealed the HP effect and also uncovered the Alignment effect, a key marker of the CFE. The findings also indicated a monocular advantage, replicating the known subcortical contribution to face perception. There was, however, no statistically significant difference in the CFE when the images were presented in the monocular versus interocular conditions. These findings indicate that HP is not necessarily mediated by the subcortical visual pathway, and suggest that further investigation of cortical, rather than subcortical, structures might advance our understanding of HP and its role in face processing.
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