Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Probing dynamic human facial action recognition from the other side of the mean
Proceedings of the 5th symposium on Applied perception in graphics and visualization
Biophysical models of neural computation: max and tuning circuits
WImBI'06 Proceedings of the 1st WICI international conference on Web intelligence meets brain informatics
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The neural principles of the encoding of face spaces in visual cortex are still unclear and multiple competing theories have been proposed. Based on new electrophysiological data from macaque area IT we test two models realizing example-based and norm-referenced encoding. Comparing the experimentally measured tuning properties with predictions from the two models we find a better agreement for the norm-referenced encoding model. This suggests that a majority of IT neurons might represent deviations from a norm face, which is determined by an average over the distribution of typically occurring faces.