Jumping to conclusions: a network model predicts schizophrenic patients' performance on a probabilistic reasoning task.
This article extends computational models of schizophrenia that focus on the negative aspects of this syndrome to behavioral biases that are associated with a positive symptom of schizophrenia, namely delusions. The phenomenon studied is the "jump-to-conclusions" style of reasoning that is characterized by delusional patients--in comparison with controls--whereby they make less-informed decisions when an option to collect more decision-specific information is available. Simulations show that these differences can be mimicked by modulating the gain parameter-associated with variations in dopamine level-in a simple network model.
Moore
Simon C
SC
School of Dentistry, Wales College of Medicine, Biology and Life Sciences, Cardiff University, Heath Park, Cardiff, Wales. mooresc2@cardiff.ac.uk
Sellen
Joselyn L
JL
D000328:Adult; D005260:Female; D006801:Humans; D007600:Judgment; D008297:Male; D015233:Models, Statistical; D011340:Problem Solving; D011446:Prospective Studies; D012559:Schizophrenia