Fig. 5
From: The representation of colored objects in macaque color patches

Co-representation of hue and object identity in color patches. a Comparison of MDS plots of responses to all human face images in all three color patches and outside color patches. For clarity, the original natural color images are not shown. In ALC and AMC, the images were clearly grouped according to hue, while in CLC, this grouping is less clear. Outside the color patches, images were grouped according to identity, but not hue. b Population similarity matrices computed from responses to human face images in three color patches and outside color patches. Correlation coefficients were computed between responses to 11 identities and 8 hues. c Hue information and identity information for images of 10 categories in three color patches and outside color patches. Hue information was quantified as the mean correlation between responses to images with the same hue, but different identity within the same category, while identity information was quantified as the mean correlation between responses to images of the same identity with different hues. Note that here we are quantifying shape-invariant hue tuning, which will be affected by both shape tuning and color tuning; in particular, cells with strong shape tuning will show low shape-invariant hue tuning, even if they have perfectly consistent hue tuning across shapes. Error bars represent s.d. of 2000 iterations of bootstrapping. Statistical significance was determined between hue and identity information for each category in three color patches and outside color patches (* p < 0.05, **p < 0.01). d Amplitudes of hue and identity information for three patches and outside color patches, computed over a 50 ms sliding time window, were averaged across all 10 categories. Shaded regions indicate s.d. estimated by 2000 iterations of bootstrapping. e Co-representation of hue and category in all three patches and outside color patches. Responses of each cell were averaged across different identities within a category. A matrix of correlation coefficients was computed between responses to 10 categories* 8 hues. f and g Same as c and d, but for hue and category information quantified by matrices in e, **p < 0.01