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Article: A neural network model of cortical information processing in schizophrenia I: Interaction between biological and social factors in symptom formation

TitleA neural network model of cortical information processing in schizophrenia I: Interaction between biological and social factors in symptom formation
Authors
Issue Date1994
PublisherCanadian Psychiatric Association. The Journal's web site is located at http://www.cpa-apc.org/Publications/cjpHome.asp
Citation
Canadian Journal Of Psychiatry, 1994, v. 39 n. 8, p. 362-367 How to Cite?
AbstractExploiting the biological and psychological plausibility of parallel distributed processing, a neural network model of cortical processing is proposed in order to provide a framework for understanding pathological processes in schizophrenia. Major psychosocial and neurobiological factors are assigned to appropriate parameters in the model. Behaviour of the network is explored through simulation, in particular interaction between the temperature and memory loading parameters is studied. The emergent network behaviour provides a model for complex interaction between dopaminergic activity, cortical and hippocampal pathology, and psychosocial factors in the production of psychotic symptoms. This integrative model provides an account of a wide range of observations in schizophrenia. It also produces testable predictions concerning cognitive performance and the course of schizophrenia.
Persistent Identifierhttp://hdl.handle.net/10722/81515
ISSN
2015 Impact Factor: 2.952
2015 SCImago Journal Rankings: 1.631
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, EYHen_HK
dc.date.accessioned2010-09-06T08:18:42Z-
dc.date.available2010-09-06T08:18:42Z-
dc.date.issued1994en_HK
dc.identifier.citationCanadian Journal Of Psychiatry, 1994, v. 39 n. 8, p. 362-367en_HK
dc.identifier.issn0706-7437en_HK
dc.identifier.urihttp://hdl.handle.net/10722/81515-
dc.description.abstractExploiting the biological and psychological plausibility of parallel distributed processing, a neural network model of cortical processing is proposed in order to provide a framework for understanding pathological processes in schizophrenia. Major psychosocial and neurobiological factors are assigned to appropriate parameters in the model. Behaviour of the network is explored through simulation, in particular interaction between the temperature and memory loading parameters is studied. The emergent network behaviour provides a model for complex interaction between dopaminergic activity, cortical and hippocampal pathology, and psychosocial factors in the production of psychotic symptoms. This integrative model provides an account of a wide range of observations in schizophrenia. It also produces testable predictions concerning cognitive performance and the course of schizophrenia.en_HK
dc.languageengen_HK
dc.publisherCanadian Psychiatric Association. The Journal's web site is located at http://www.cpa-apc.org/Publications/cjpHome.aspen_HK
dc.relation.ispartofCanadian Journal of Psychiatryen_HK
dc.titleA neural network model of cortical information processing in schizophrenia I: Interaction between biological and social factors in symptom formationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0706-7437&volume=39&spage=362&epage=367&date=1994&atitle=A+neural+network+model+of+cortical+information+processing+in+schizophrenia+I:+interaction+between+biological+and+social+factors+in+symptom+formationen_HK
dc.identifier.emailChen, EYH: eyhchen@hku.hken_HK
dc.identifier.authorityChen, EYH=rp00392en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.pmid7834591-
dc.identifier.scopuseid_2-s2.0-0028578001en_HK
dc.identifier.hkuros2681en_HK
dc.identifier.volume39en_HK
dc.identifier.issue8en_HK
dc.identifier.spage362en_HK
dc.identifier.epage367en_HK
dc.identifier.isiWOS:A1994QG20300003-
dc.publisher.placeCanadaen_HK
dc.identifier.scopusauthoridChen, EYH=7402315729en_HK

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