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Simulation of cognitive disturbances by a dynamic threshold semantic neural network

Published online by Cambridge University Press:  01 July 2000

AMIR B. GEVA  and
AVI PELED
AMIR B. GEVA
Affiliation:
Electrical and Computer Engineering Department, Ben-Gurion University of the Negev, Beer Sheva, Israel
AVI PELED
Affiliation:
Department of Forensic Psychiatry, Shaa'r Menashe Mental Health Center, Israel; Technion-Israel Institute of Technology, Haifa, Israel
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Abstract

A neural network model with dynamic thresholds, asymmetric connections, and clustered memories simulates spread activation that is hypothesized for semantic networks in the brain. By altering the parameters of the dynamic threshold a large range of disturbances can be generated in the model. These disturbances show metaphorical resemblance to certain general clinical descriptions of mental disturbances found in psychiatric patients engaged in various cognitive tasks. Even though the model is highly theoretical and metaphoric, it may help to gain certain insights into the relation between alterations of certain neural parameters, for example, thresholds and connectivity, and clinical symptoms in patients. (JINS, 2000, 6, 608–619.)

Keywords

Dynamic neural networksSemantic networksCognitive taskWorking memoryConcrete and abstract concepts representationSchizophreniaThought disordersFuzzy clustering
Type
Research Article
Information
Journal of the International Neuropsychological Society , Volume 6 , Issue 5 , July 2000 , pp. 608 - 619
Copyright
© 2000 The International Neuropsychological Society

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