Model comparison and correlations between estimated parameters and behavioral traits.

<p>(<i>A</i>) Bayesian Information Criterion scores for each model (a low score is better). Models based on two traits fare uniformly better than models based on a single trait. Models with two traits including cognitive inflexibility have better scores than equivalent or simpler models. The model with all three simulated traits provides the best fit to the data even when penalizing for the increased model complexity (number of free parameters). (<i>B</i>) Learned Q-Values for advantageous and disadvantageous choices by both Good and Poor DM<b>.</b> Bars represent the mean Q-values assigned to the disadvantageous choices (A & B<b>; dark-grey)</b> and advantageous choices (C & D<b>; light-grey</b>) averaged over all poor or good decision makers at the end of an RGT session. Error bars represent 95% CI around the mean Q-value for all the rats of the population of interest. Poor decision makers vastly over-value disadvantageous choices in comparison to advantageous choices. (<i>C-F</i>) Scatter plot illustrating the correlation between: (<i>C</i>) The sum of ranks for all the behavioral traits measured experimentally (x-axis) and those estimated by the model (y-axis); (<i>D</i>) The measure of cognitive inflexibility (x-axis) and the estimated inflexibility parameter (area under α; y-axis); (<i>E</i>) The measured reward sensitivity (x-axis) and the estimated reward sensitivity (y-axis). (<i>F</i>) The measured risk seeking (latency to emerge in light compartment; x-axis) and the estimated risk-seeking parameter (y-axis). All estimated parameters correlated significantly with their behavioral counterpart.