Fig. 6: Distance to the multiscale predictive mode explains behavior prediction accuracy.
a For both monkeys, using the combined spike-LFP activity improved the estimation of the multiscale predictive mode across channel sets (Methods). The distance of the estimated modes to the multiscale predictive mode significantly decreased when using spike-LFP activity in combination compared with separately. Each channel set used a baseline of random five LFP or spike single-scale channels and then added random 25 spike or LFP channels to them, respectively. The location of the multiscale predictive mode was defined as the average of the single-scale predictive modes estimated using all channels to get the best estimate (average of brown and yellow dots in Fig. 5b). b For both monkeys, there was a positive correlation between the reduction in distance and improvement in joint angle prediction accuracy in CC (P < 1.5 × 10−5, Ns = 1400 and 800 Monte Carlo samples in Monkey J and C, two-sided corrected resampled paired t test). Each dot represents one cross-validation fold from one channel set. To show the results across sessions, values are z scored for each session. R represents the Pearson’s correlation coefficient and P its p value corrected by the resampled t test (see Methods). Black line is the linear least-square fit representing the mean prediction accuracy for different distances and the shaded area is the 95% confidence bound of the mean. Source data are provided as a Source Data file.
