Experimental design and stimuli analysis.
(A) Example segments of presentation sequences in which faces (top panel) and limbs (bottom panel) were the target category. Images spanning 12° containing gray-level images of items from different categories on a phase scrambled background appeared for 233 ms (frequency: 4.286 Hz). A different exemplar from a single category appeared every 5th image (frequency: 0.857 Hz). Between the target category images, randomly drawn images from the other four categories were presented. Sequences consisted of 20% images from each of the five categories and no images were repeated. Each category condition lasted for 14-s and contained 12 such cycles. Participants viewed in random order 5 category conditions: faces, limbs, corridors, characters, and cars forming a 70-s presentation sequence. (B) Images were controlled for several low-level properties using the SHINE toolbox as explained in 8. Metrics are colored by category (see legend). Contrast: mean standard deviation of gray-level values in each image, averaged across 144 images of a category. Luminance: Mean gray-level of each image, averaged across 144 images of a category. Similarity: Mean pixel wise similarity between all pairs of images in a category. For all 3 metrics, boxplots indicate median, 25%, 75% percentiles, range, and outliers. Significant differences between categories are indicated by asterisks, for contrast and luminance (non-parametric permutation t-test p < .05, Bonferroni corrected); for image similarity, all categories are significantly different than others (non-parametric permutation testing, p < 0.05, Bonferroni corrected, except for corridors vs. cars, p = .24). Spatial Frequency: Solid lines: Distribution of spectral amplitude in each frequency averaged across 144 images in each category. Shaded area: standard deviation. Spatial frequency distributions are similar across categories.