Figure 5.
A, We applied classifiers to neural activity at learned boundaries to measure evidence for predictive activity for the neighboring community. B, Classifier performance was above chance for much of the learned boundary presentation period (asterisks indicate p < 0.05 FDR-corrected time windows). C, When averaged across the entire presentation period, the classifier's performance in predicting the next community (M = 0.514) was significant (p = 2 × 10−5). D, Classifier evidence for the adjacent community was higher the more trials occurred in the same community before a visit to a boundary node (late vs early boundaries, p = 0.02).