Extended Data Fig. 3: Feature-specific RPEs clustered to behavioral features of the task to match Engelhard et al4 clustering analysis.
From: A feature-specific prediction error model explains dopaminergic heterogeneity
(a) Optimal number of clusters was 3, selected by minimizing the AIC scores for models with different numbers of clusters. (b) Relative contribution of the behavioral features including cues, position, choice and reward response for the 64 units sorted based on the highest probability belonging to the cluster, with colored lines on top indicating the cluster identity. Relative contribution is defined as the percentage of the explained variance for the partial model not including the variable versus the full model.
