Individuals with problem gambling and obsessive-compulsive disorder learn through distinct reinforcement mechanisms
Fig 3
Computational model fitting to behaviour.
(a) Model comparison in reward trials. We plotted each model’s WAIC value relative to the best model (note: a smaller value indicates a better fit). The best-fit model is highlighted in bold. HC, healthy control; OCD, obsessive-compulsive disorder; PG, pathological gambling; RL, reinforcement learning; WAIC, widely applicable Akaike information criterion. (b) Model comparison in the avoidance trials. The format is the same as in (a). Summary data to reproduce the figure are available at https://osf.io/v7em5/.