Supplementary Figure 7: Model performance without analog predictors.
From: Single-trial neural dynamics are dominated by richly varied movements
(a) Cross-validated explained variance for a reduced model without any analog regressors. Model’s performance was lower than the full model in Fig. 3a but still predicted a large amount of variance. Averaged across cortex, the event kernel-only model predicted 30.8±0.2% (mean±SEM, n=22 sessions) of all variance. (b) Unique model contribution map for each variable group. (c) Explained variance for variable groups, averaged across cortical maps. Shown is either cvR2 (light green) or ∆R2 (dark green). The box shows the first and third quartiles, the inner line is the median over 22 sessions. Box whiskers represent minimum and maximum values. Even after removing all analog predictors, uninstructed movement contained the highest unique contributions across cortex. This demonstrates that their importance for predicting cortical activity is not just explained by including analog predictors such as the video variables.
