Citation Zhao C, Hancock PJB & Bednar JA (2008) Modelling face adaptation aftereffects (Meeting Abstract).
Abstract Human perception of faces shows systematic aftereffects as a result of adaptation to specific faces (Leopold et al, 2001 Nature Neuroscience 4 89-94), but it is not clear what mechanisms underlie these effects. We show that face aftereffects can arise from Hebbian learning of connections in a LISSOM self-organising map model of visual cortex (Miikkulainen et al, 2005 Computational Maps in the Visual Cortex (New York: Springer)). The model is trained and tested on faces from a generative model of a multi-dimensional face space (Hancock, 2000 Behavior Research Methods, Instruments and Computers 32 327-333). Adaptation in the model shifts perception along a trajectory passing through the mean face. The perception of a target face on this trajectory is facilitated after adaptation to the target face's anti-face, but impaired after adaptation to other anti-faces. The model results suggest that high-level aftereffects can be explained through the same mechanisms previously used for low-level effects like tilt aftereffects (Miikkulainen et al, 2005 Computational Maps in the Visual Cortex (New York: Springer), but in circuits selective for faces.