Figure 2.

Distinguishing both sex and strain using AOB neurons. A, Firing rate responses of all single units responsive to at least one of the urine stimuli, recorded from female B6D2F1 mice (n = 14). Highlighted by two arrowheads are the two example cells from Figure 1, E and F. B, C, First two and three LDA projections of the AOB data set. LD1, LD2, and LD3 are the LDA directions 1, 2, and 3, respectively. D, Classification result matrix (confusion matrix) for the AOB, using k = 4, LDA dimensions 1–5 [vertical axis, patterns presented; horizontal axis, patterns predicted (classified)]. E, Classification accuracy is not strongly dependent on the number of LDA dimensions used beyond 3, nor is it dependent on the number of neighbors (k) used. F, Classification success rate as a function of cell pool size. Using k = 4 and LDA dimensions 1–5 as determined in (E), we built up the ensemble of cells. Black line, Success rate across all stimuli (4M+4F); blue line, success rate when distinguishing only among male urine stimuli (4M); red line, success rate when distinguishing only among female urine stimuli (4F). RC, Ringer's control.