Figure 2. Decoded target locations cluster according to behaviorally-defined chunks.

(A) Two example blocks with 2 and 3 putative chunks identified from behavior patterns. Points indicate the locations decoded on each target selection, color-coded according to the chunk membership defined behaviorally. Shades of red/blue/green correspond to different targets within a chunk. + indicates the center of the task screen, and ⊗ indicates the centroid of the targets assigned to each chunk. (B) Two example 2-chunk blocks with low (left) or high (right) MIs. Each dot is a decoded target location with face shading indicating group membership defined by k-means clustering of neural predictions of target locations, and edge color indicating chunk membership defined by behavioral patterns of target selections. Matching face and edge colors show correspondence between neurally-defined and behaviorally-defined groups. Solid green circles are actual target locations, + indicates screen center. (C) Same as B, but for two example 3-chunk blocks. (D) Average correspondence between behaviorally-defined and neurally-defined target groups. Neurally-defined groups are based on clustering of decoded target locations. The number of clusters was determined by the number of putative chunks identified from behavior patterns. Correspondence is the proportion in each cluster associated with a target in each behaviorally-defined chunk. (E) Stronger evidence of chunking in behavior correlated with higher correspondence between behaviorally-defined and neurally-defined chunks in both 2- (dark blue) and 3-chunk (light blue) blocks. See also Figures S3 – S4.