Fig. 7: The multiscale predictive mode was present in both low-frequency and high-frequency bands of LFP activity.
a For a sample experimental session (top: Monkey J, bottom: Monkey C), the top view of the eigenvalue-dimension diagram is shown for low-frequency (theta + alpha + beta; left) and high-frequency (gamma; right) bands of LFP activity. The yellow circle is the average location of the predictive mode clusters in the spiking network activity in Fig. 5b, which we used as the ground-truth location of the multiscale predictive mode in this analysis. The members of the closest estimated principal mode cluster to the yellow dot are shown in orange. b In both monkeys and for both low-frequency and high-frequency bands of LFP activity, the mean distance of the closest estimated principal mode cluster to the multiscale predictive mode was significantly smaller than chance-level as shown by the asterisks with similar convention as in Fig. 3 (P < 6.4 × 10−5, Ns = 35 and 20 cross-validation folds across sessions for Monkeys J and C, FDR-corrected, one-sided Wilcoxon signed-rank test). The distance in each session is calculated between the centroid of the orange cluster and the yellow dot in (a). Bars represent mean across sessions and error bars are 95% confidence bound of the mean. c The distance of the estimated principal mode to the multiscale predictive mode is correlated with the behavior prediction accuracy for different frequency band combinations of LFP activity (theta + alpha, beta, gamma in addition to their pairwise combinations: theta + alpha + beta, theta + alpha + gamma and beta + gamma; P < 1.5 × 10−7, Ns = 42 and 24 frequency band combinations across sessions for Monkeys J and C, one-sided Wilcoxon signed-rank test, FDR-corrected). For each monkey, each dot represents one frequency band combination for one session. The distance and the prediction accuracy of the estimated principal mode in each session are z scored and then results are pooled across sessions. Similar to Fig. 6, black line is the linear least-square fit representing the mean prediction accuracy and the shaded area is the 95% confidence bound of the mean. Source data are provided as a Source Data file.
