Modelling face adaptation aftereffects

Chen (Roger) Zhao, Peter Hancock, James A. Bednar

Research output: Contribution to conferencePosterpeer-review

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.
Original languageEnglish
Publication statusPublished - 2008
Event31st European Conference on Visual Perception - Utrecht, Netherlands
Duration: 24 Aug 200828 Aug 2008

Conference

Conference31st European Conference on Visual Perception
Country/TerritoryNetherlands
CityUtrecht
Period24/08/0828/08/08

Fingerprint

Dive into the research topics of 'Modelling face adaptation aftereffects'. Together they form a unique fingerprint.

Cite this