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

Moore, Simon Christopher and Sellen, J. L. 2006. Jumping to conclusions: A network model predicts schizophrenic patients’ performance on a probabilistic reasoning task. Cognitive, Affective, & Behavioral Neuroscience 6 (4) , pp. 261-269. 10.3758/CABN.6.4.261

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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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Dentistry
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher: Springer
ISSN: 1530-7026
Last Modified: 24 Jun 2017 09:41
URI: http://orca.cf.ac.uk/id/eprint/35674

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