We used connectionist modeling in Study 1 to determine whether there are structural similarities between certain demographic categories and certain emotion expressions. The extent to which the models detected similarities to these emotions in neutral expression faces was then examined using a separate set of White, Black, and Asian generalization faces. Generalization faces Generalization faces included White, Korean, and Black neutral expression faces, with men and women equally represented within each race. Before Midnight departed, one of the detectives was able to take several photos of him, discreetly snapping pictures with his phone held to his ear as though he were taking a call. In the present article, we present the results of two studies in which connectionist modeling is used to extend previous research on such emotion overgeneralization effects. These results suggest that intergroup relations may be strained not only by cultural stereotypes but also by adaptive responses to emotion expressions that are overgeneralized to groups whose faces subtly resemble particular emotions. Another possible explanation is that there are structural similarities between faces from certain demographic categories and those with certain emotion expressions. Again, this study is better suited to capturing the overlapping cultural meaning of emotion expressions and racial category rather than to elucidating any overlap in the racial and expression morphology, because the racial morphology was ambiguous by design. However, there are racial differences in facial structure that could yield differences in resemblance to emotion expressions. The first of these effects has been identified as temporal extension: Study 1 demonstrated that neutral expression male faces objectively resemble angry expressions more than female faces do, female faces objectively resemble surprise expressions more than male faces do, White faces objectively resemble angry expressions more than Black or Korean faces do, and Black faces objectively resemble happy and surprise expressions more than White faces do. It should be noted that connectionist modeling is used in this research as a mathematical technique for generating an objective index of the structural similarity of a face to a particular category of faces. The aim of this research was not to test various alternative cognitive or neural models of face processing. Rather, it can be due only to intrinsic similarities in the facial attributes known to the neural network. Previous research suggests that faces varying in sex or facial maturity differ in resemblance to emotions.