Fig 3. Performances of L-N model predictions.

(A) Distribution of coefficient of determination R² between model prediction and ORN responses to white-noise stimuli. Grey crosses: individual cells. The example ORN from Fig 1B and 1C is shown with a red symbol. Black segment: median values. R² depends both on noise correlation time (ANOVA, p<10⁻¹⁰) and pheromone load (ANOVA, p<10^-10). (B) Distribution of R² between model prediction and PN responses to noise stimuli, independent samples, n = 97 cells. Left: the distribution histogram shows the heterogeneity of R² values. **: p<0.01 Wilcoxon’s rank sum test. The example PN from Fig 1D and 1E is shown with a red symbol. (C) R² between model prediction and PN responses to noise stimuli, paired samples. For this data set (n = 15 cells), two or three noise sequences with different correlation times were tested for each cell. Line segments join the R² calculated for the same cell. *: p<0.05 Wilcoxon’s signed rank test. The values in response to the 50 ms correlation time are included in (B).