Fig. 8.

Animate–inanimate categorization performance for (A) several unsupervised models and (B) layers of a deep convolutional network. Bars show animate vs. inanimate categorization performance for each of the models shown on the $x$-axis. A linear SVM classifier was trained using 1750 training images and tested by 120 test images. $P$ values that are shown by asterisks show whether the categorization performances significantly differ from chance [$p<0.05$: *, $p<0.01$: **, $p<0.001$: ***]. $P$ values were obtained by random permutation of the labels (number of permutations = 10,000).