Figure 2. Learning Style Decomposition.

(A) Schematic of RL model logic. We used an RL model to quantify the extent to which each choice was predicted based on recent experiences with the presented cue combination (configural learning) or experiences with the individual cues (elemental learning). (B) Distribution of RL model-derived learning styles. Learning styles were estimated by comparing the variance in choices explained by a model that only includes experiences with cue combinations vs. a model that only includes experiences with individual cues. The probability distribution functions for each task are plotted. (C) Reaction Times are related to task and RL-Model estimates. On the left, mean RT in each task is plotted for all participants. On the right, RT is plotted separately for participants classified as configural or elemental learners in the Separable Task. For comparison, the dashed line plots mean RT for all participants in the Inseparable Task and error bars reflect 95% confidence intervals. (D) Eye Fixation patterns are related to task and RL-Model estimates. Symmetric fixation time indexes the proportional difference in time spent viewing each cue (0=viewing only one cue; 1=equal viewing) and is plotted for each task on the left. On the right, symmetric viewing time is plotted separately for participants classified as configural or elemental learners in the Separable Task. For comparison, the dashed line plots symmetric fixation time for all participants in the Inseparable Task and error bars reflect 95% confidence intervals.