Efficient coding of natural scenes in the lateral geniculate nucleus: The background similarity effect, in particular, predicts joint selectivity to stimulus features and background statistics. The KDEF curve extends to higher frequencies because of the larger image size. Abstract Cross adaptation is widely used to probe whether different stimuli share common neural mechanisms. In other words, featureless backgrounds are not discarded after feature extraction. This is similar to the asymmetry between the motion and cartoon faces Figs. After establishing facial-expression perception in the second-order motion faces, we cross-adapted them with first-order, luminance-defined faces to gain insight into interactions between different cues in face processing.
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Subjects reported whether the perceived expression was sad or happy via a key press. We then examined whether we can increase the aftereffect in the rf-cf condition by adding proper backgrounds to the test cartoon faces. On this random-dot field, we defined a virtual ring for the face outline, two virtual disks for the eyes, and a horizontally-oriented virtual rectangle for the mouth Fig. Our initial null findings might have tempted one to conclude that facial expressions in motion faces, real faces, and static cartoon faces are all processed separately, despite expression being a universal property. Real face adaptation transferred to static cartoon faces only when noise with the correlation statistics of real faces or natural images was added to the background of the cartoon faces Fig. We generated these dynamic, second-order faces in a 3. The dots within the face-outline ring and the eye disks randomly flickered at 10 Hz.