Jumping to conclusions: a network model predicts schizophrenic patients' performance on a probabilistic reasoning task - PubMed (original) (raw)

Jumping to conclusions: a network model predicts schizophrenic patients' performance on a probabilistic reasoning task

Simon C Moore et al. Cogn Affect Behav Neurosci. 2006 Dec.

Abstract

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.

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