Similarities between IT and CNN peak layer shape dissimilarities as a function of percent of units.

(A) Spearman rank correlation coefficients between IT and peak CNN layer similarities are shown for each of two CNN models as a function of sample size, expressed as percentage of the total number of units that were activated differentially by the 64 shapes. (B) Pearson correlation coefficients between the mean neural distances and the mean distances of the peak CNN layer (n = 6 mean distances; Fig 10) as a function of percentage of the total number of units. The total number of units (100%) for each CNN layer is listed in the legend. Note that 0.1% corresponds to only 3 Alexnet units, explaining the large range of correlations for that sample size. The dissimilarities were Euclidean distances. Error bars depict 95% confidence intervals, determined by 10,000 random samples from the population of differentially activated CNN units of that layer.