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A) Matrix of Euclidean distances between each of the 96 × 96 pairs of test and template response vectors. The maximum possible distance between a test and a template vector is

. (
B) The top row shows the percent correct identification and categorization for each image, based on a nearest neighbor algorithm. The middle row shows the same data grouped by category (F, faces; B, bodies; Fr, fruits; G, gadgets; H, hands; S, scrambled patterns). Error bars represent ±1 SE. The bottom graphs are the percentages of correct identification and categorization for six different categories as a function of time after stimulus presentation, computed using a 50-ms sliding window. Chance performance would be 1/96 for identification and 1/6 for categorization (indicated by the horizontal line in each graph). Data are from monkey M1.