For example, in the Intertemporal Choice task, subjects' discount rate decreases with practice (they become more patients) and their inverse temperature increases (they become more consistent in their choices). Interestingly, more positive mood decreased their inverse temperature.

Using a hierarchical Bayesian framework, we modeled several potential sources of variability: practice effects, mood effects (valence and arousal) and random noise.

We calculated parameter stability (ICC) for all 19 computational parameters and found ICC to span a wide range, from poor to near perferct stability.

Reminded me of this guy (girl?).