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Article: Recognition of hallucinations: A new multidimensional model and methodology

TitleRecognition of hallucinations: A new multidimensional model and methodology
Authors
Issue Date1996
PublisherS Karger AG. The Journal's web site is located at http://www.karger.com/PSP
Citation
Psychopathology, 1996, v. 29 n. 1, p. 54-63 How to Cite?
AbstractBoth from the clinical and mathematical perspectives, symptom recognition has received less attention than disease recognition. To redress this balance, it is imperative that multidimensional models are constructed for each and all mental symptoms. This paper offers one such model for 'hallucinations', and a set of prototypical data comparing the performance of pattern recognition techniques (cluster and discriminant analyses) and neural networks (Kohonen and backpropagation). It is concluded that multidimensional models are less wasteful of information than (current) categorial ones. Because of this and of the fact that symptom structure is likely to be 'isomorphic' with the brain region where the corresponding signal is generated, it is recommended that multidimensional models are preferentially used in neurobiological research.
Persistent Identifierhttp://hdl.handle.net/10722/81638
ISSN
2015 Impact Factor: 1.888
2015 SCImago Journal Rankings: 0.828
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChen, Een_HK
dc.contributor.authorBerrios, GEen_HK
dc.date.accessioned2010-09-06T08:20:12Z-
dc.date.available2010-09-06T08:20:12Z-
dc.date.issued1996en_HK
dc.identifier.citationPsychopathology, 1996, v. 29 n. 1, p. 54-63en_HK
dc.identifier.issn0254-4962en_HK
dc.identifier.urihttp://hdl.handle.net/10722/81638-
dc.description.abstractBoth from the clinical and mathematical perspectives, symptom recognition has received less attention than disease recognition. To redress this balance, it is imperative that multidimensional models are constructed for each and all mental symptoms. This paper offers one such model for 'hallucinations', and a set of prototypical data comparing the performance of pattern recognition techniques (cluster and discriminant analyses) and neural networks (Kohonen and backpropagation). It is concluded that multidimensional models are less wasteful of information than (current) categorial ones. Because of this and of the fact that symptom structure is likely to be 'isomorphic' with the brain region where the corresponding signal is generated, it is recommended that multidimensional models are preferentially used in neurobiological research.en_HK
dc.languageengen_HK
dc.publisherS Karger AG. The Journal's web site is located at http://www.karger.com/PSPen_HK
dc.relation.ispartofPsychopathologyen_HK
dc.rightsPsychopathology. Copyright © S Karger AG.en_HK
dc.titleRecognition of hallucinations: A new multidimensional model and methodologyen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0254-4962&volume=29&spage=54&epage=63&date=1996&atitle=Recognition+of+Hallucinations:+A+New+Multidimensional+Model+and+Methodologyen_HK
dc.identifier.emailChen, E: eyhchen@hku.hken_HK
dc.identifier.authorityChen, E=rp00392en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1159/000284972-
dc.identifier.pmid8711076-
dc.identifier.scopuseid_2-s2.0-0030067299en_HK
dc.identifier.hkuros21714en_HK
dc.identifier.hkuros20699-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0030067299&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume29en_HK
dc.identifier.issue1en_HK
dc.identifier.spage54en_HK
dc.identifier.epage63en_HK
dc.identifier.isiWOS:A1996TZ66700008-
dc.publisher.placeSwitzerlanden_HK
dc.identifier.scopusauthoridChen, E=7402315729en_HK
dc.identifier.scopusauthoridBerrios, GE=7101713240en_HK

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