Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-09T04:51:18.660Z Has data issue: false hasContentIssue false

Combating fuzziness with computational modeling

Published online by Cambridge University Press:  03 September 2003

L. M. Talamini
Affiliation:
Department of Psychology, Section of Psychonomics, University of Amsterdam, 1018 WB Amsterdam, The Netherlands ltalamini@fmg.uva.nl m@meeter.nl http://www.neuromod.org
M. Meeter
Affiliation:
Department of Psychology, Section of Psychonomics, University of Amsterdam, 1018 WB Amsterdam, The Netherlands ltalamini@fmg.uva.nl m@meeter.nl http://www.neuromod.org
J. M. J. Murre
Affiliation:
Department of Computer Science, University of Maastricht, 6200 MD Maastricht, The Netherlands jaap@murre.com
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

Phillips & Silverstein's ambitious link between receptor abnormalities and the symptoms of schizophrenia involves a certain amount of fuzziness: No detailed mechanism is suggested through which the proposed abnormality would lead to psychological traits. We propose that detailed simulation of brain regions, using model neural networks, can aid in understanding the relation between biological abnormality and psychological dysfunction in schizophrenia.

Information

Type
Article Commentary
Copyright
Copyright © Cambridge University Press 2003