Extended Data Fig. 5: Effects of HbT filtering and NE reshuffling.
a) Maps of the weights, A (left) and B (right), in the Linear regression model using unfiltered HbT (n = 8 subjects). b) Timing coefficients for Ca2+ and NE (tA, tB) for each subject using unfiltered HbT; each dot shows an average across runs for one subject (n = 8 subjects; mean ± SEM; tA = 0.73 ± 0.08, tB = -0.04 ± 0.05). c) Linear Regression model performance map quantified as the correlation between experimental and predicted HbT using unfiltered HbT (n = 8 subjects). d) Difference between unfiltered and filtered Linear Regression model performance (n = 8 subjects). e, g, h) Same as (a, c, d) but for the Double IRF model. f) Estimated IRFCa2+ and IRFNE using unfiltered HbT (n = 8 subjects; mean ± SEM). i) Maps of the weights, A (left) and B (right), in the Linear regression model after shuffling the NE data (n = 8 subjects). j) Timing coefficients for Ca2+ and NE (tA, tB) for each subject after shuffling NE; each dot shows an average across runs for one subject (n = 8 subjects; mean ± SEM; tA = 0.63 ± 0.05, tB = 0.09 ± 0.02). k) Difference between shuffled NE Linear Regression model performance and Global IRF model performance (n = 8 subjects). l, n) Same as (i, k) but for the Double IRF model. m) Estimated IRFCa2+ and IRFNE after shuffling NE (n = 8 subjects; mean ± SEM). o) Side-by-side model comparison. For each subject and model, the model performance (r) was averaged across space. Each point represents one subject (*p < 0.01 two-sample, two-sided Kolmogorov-Smirnov Test; mean ± SEM; r = 0.32 ± 0.02, 0.29 ± 0.03, 0.39 ± 0.02, 0.60 ± 0.03, 0.59 ± 0.03, 0.52 ± 0.02, 0.53 ± 0.02, 0.37 ± 0.03, 0.37 ± 0.03 for the Global, SSp, and variant IRF models, the Linear Regression and Double IRF models, the unfiltered Linear Regression and Double IRF models, and the shuffled Linear Regression and Double IRF models; n = 16 subjects for the Global, SSp, and variant IRF models n = 8 subjects for all models using NE). P-values are provided in figure source data.
