The role of shape and texture in the neural representation of faces
My PhD aims to explore the lower level visual properties that underlie the perception and recognition of faces.
My first project compared the roles of shape and surface texture in the recognition of face identity. I used familiar and unfamiliar hybrid faces across three experimental paradigms: Free recall recognition (N=53); Face naming (N=110) and FMR-Adaptation (N=20).
My second project explored the perceptual and neural representations of symmetrical viewpoints of the face and how canonical and non-canonical viewpoints impacted these representations (N = 65)
My current projects use a combined computational and behavioural approach to determine the critical image dimensions for face recognition. Our findings currently suggest that there is an intermediate band of image dimensions in faces that is critical for the recognition of identity in humans and computer models of face recognition.
GTA: Brain and Behaviour; Research Methods; Perception and Cognition.
Rogers, D., Baseler, H., Young, A. W., Jenkins, R., & Andrews, T. J. (2022). The roles of shape and texture in the recognition of familiar faces. Vision Research, 194, 108013.
Rogers, D., & Andrews, T. J. (2022). The emergence of view-symmetric neural responses to familiar and unfamiliar faces. Neuropsychologia, 108275.