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

Moore, Simon Christopher ORCID: https://orcid.org/0000-0001-5495-4705 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:	05 Jan 2024 02:10
URI:	https://orca.cardiff.ac.uk/id/eprint/35674

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