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. 2015 Jul 1;114:275–286. doi: 10.1016/j.neuroimage.2015.04.026

Fig. 5.

Fig. 5

Relating computational models to cortical representations. A–C) Results on the comparisons between computational model predictions on the response pattern dissimilarities and the empirical results of different visual areas are shown separately for the three subjects. Each bar indicates the mean rank correlation between a model RDM (GWP = Gabor wavelet pyramid, Gist = spatial envelope model, Anim = categorical animate–inanimate distinction) and a brain RDM. The error-bars indicate SEMs across the 25 experimental runs. The black dots below the bars indicate statistically significant results (t-test, p < 0.05). D) A multidimensional-scaling arrangement reflects the response-pattern dissimilarities in V1 and LO for the 1750 natural images (dissimilarity: 1 - Pearson's linear correlation, criterion: metric stress) labeled as animate (red) or inanimate (blue). The results are shown separately for each subject. A clear categorical clustering is evident in area LO of subject S1, but not in V1 in any of the subjects.