, 2004, details in Section 4.5). The smaller the KLD, the higher the similarity between the two distributions, with its lower bound at zero, if the two are identical. To evaluate the significance of KLDact Inhibitor high throughput screening of the actual, measured data, we calculated the probability distribution of KLDind values derived from the same saliency map but with fixation maps resulting from a random viewer, i.e., randomly (homogeneously) distributed fixation points on the image ( Parkhurst et al., 2002, for
details see Section 4.5). This procedure implies the assumption of independence between the two maps, and allowed us to test if the monkeys’ viewing behavior deviates significantly from a non saliency-related behavior ( Figs. 4A, DAPT order B). The results for all monkeys and all images are shown in Fig. 4C. For visualization purposes we show for each image the difference
of the actual KLDact and the mean 〈KLDind〉 of the KLDind-distribution, ΔKLD = 〈KLDind〉 − KLDact (color bars in Fig. 4C). In 8 out of 11 images explored by monkey D ( Fig. 4C, blue bars) we find significant positive ΔKLD values (i.e., KLDact << 〈KLDind〉) (p < 0.01, marked by asterisks), and similarly for monkey M (significant: 3 out of 4 images; Fig. 4C, green bars), indicating that for monkeys D and M the saliency maps of these images were good predictors of the fixation positions. However, in the remaining 25% of images, the ΔKLD was significantly negative (i.e., KLDact >> 〈KLDind〉) when compared to a random viewer, i.e., the fixation map differs significantly (p > 0.01) from the saliency map, leading to the conclusions that here a) the saliency maps were not predictors of the fixation positions, and b) the viewing behavior MYO10 differed from random viewing, indicating the presence of a distinct viewing strategy for these images. Interestingly, this holds true for all images that differ in content
from the other images in that they show faces of human or non-human primates, and not for the other images, which contained only non-primate animals. Performing the same analysis only on fixations that belonged to ROIs did not alter the significance of our results (cmp. Experimental procedures, Section 4.5). The analysis of the previous section already hinted at differences of the viewing behavior of monkey S as compared to monkeys D and M. Our quantitative analysis of the similarities of the saliency and fixation maps additionally showed marked differences between monkey S to the other two monkeys: the fixation patterns of monkey S never deviates significantly from a random viewer (Fig. 4C, brown bars), thus confirming our hypothesis that this monkey did not actively explore the images. In fact, it seems that he just kept his gaze within the lower left part of the screen, independently of the presented image (Fig.