Fig 5. Representational similarity analysis of deep CNN layers and IT neurons for the whole shape set with two different sizes.

Spearman rank correlation coefficients between IT and model layer similarities are shown for each layer of Alexnet (A) and VGG19 (B) for the original and twofold smaller sizes (“reduced size”). The dissimilarities were Euclidean distances. Error bars depict 95% confidence intervals, determined by 10,000 bootstrap samples of the IT neuron pool (n = 119 neurons). Stars indicate layers for which the Spearman rank correlations for the trained version differed significantly from its untrained version (paired bootstrap test; False Discovery Rate corrected q<0.05). The horizontal line and gray band indicate the median and 95% interval, respectively, of the Spearman-Brown corrected split-half correlations (n = 10000 splits) of the neuronal distances, as an estimate of the noise ceiling.