Fig. 4.

Decoding of stimulus via stable and dynamic coding subspaces. (A and B) Schematic of the subspace decoder. Activity at a given timepoint for a single trial is projected into the subspace, and the classifier’s winner-take-all readout is the stimulus condition whose centroid is nearest ($d_{min}$). As in Fig. 3, the number of dimensions used for the subspace is 2 for ODR and 1 for VDD. (C and D) Decoding accuracy over time for the mnemonic (blue) and dynamic (red) coding subspaces. Chance performance for the stable (gray) and dynamic (brown) subspaces was calculated by shuffling stimulus trial labels. (E and F) Generalizability of the dynamic subspace across time. The red curve marks the stimulus variance captured by the dynamic subspace defined at one time for activity at another time separated by a given time separation, averaged across timepoints during the delay. The blue dashed line marks the stimulus variance captured by the mnemonic subspace, averaged across the delay epoch. The gray dotted line marks chance performance. Shaded bands mark SEM.