Hybrid dedicated and distributed coding in PMd/M1 provides separation and interaction of bilateral arm signals
Fig 6
Population activity reorganizes and diverges for the two limbs throughout planning.
(A) Dimensionality of the PCA subspace estimated as the number of components that minimizes the cross-validated reconstruction error of the full-dimensional neural data. Mean +/- standard error across datasets. (B,C) Heat maps indicate alignment of 4-dimensional PCA subspaces between all pairs of timepoints across the Instruct and Move phases of the task, averaged across sessions. (B) Compares subspaces across time for movements of the same arm. Three blocks forming along the diagonal indicate three distinct subspaces: a pre-instruction Rest space, a post-instruction Instruct space, and a peri-movement Move space. (C) Compares subspaces across time for movements of opposite arms. Prior to instruction there is a moderate alignment of the subspaces for each limb, however, the two subspaces diverge around 100ms post instruction. (D) Summary of the data in (B,C). Mean +/- standard deviation across datasets.