Ryan Smith @rssmith.bsky.social · 13/08/2026One interesting result was that, at the trial level, RL was better at predicting participants' win-stay choices while active inference was better at predicting their lose-switch choices (and all switch choices). Active inference was also a bit better at predicting when they chose the best option. 010
Ryan Smith @rssmith.bsky.social · 25/05/2025The groups also differed in scores on a cognitive reflectiveness test, and a mediation model suggested that differences in reflectiveness partially accounted for greater pruning in the methamphetamine users. The effect of anxiety induction on craving was also positively associated by pruning levels. 120
Ryan Smith @rssmith.bsky.social · 25/05/2025HCs and methamphetamine users completed an established multistep planning task. From certain starting positions, the optimal path required transitioning through a large loss. Unlike other model parameters (planning horizon, reward sensitivity), group differences were selective to aversive pruning. 110
Ryan Smith @rssmith.bsky.social · 06/04/2025A Bayesian (Kalman filter) learning model also revealed slower learning rates in anxious depression independent of anxiety induction. 100
Ryan Smith @rssmith.bsky.social · 06/04/2025Anxiety induction reduced directed (but not random) exploration in healthy individuals, but not in those diagnosed with anxious depression. Directed exploration was also associated with scores on a cognitive reflection test. 100
Ryan Smith @rssmith.bsky.social · 06/04/2025We combined the Horizon Task with a somatic (interoceptive) anxiety induction using breathing resistance. Both healthy individuals and those diagnosed with anxious depression participated (N=58 and 61, respectively). 100