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dc.contributor.authorPower, W.
dc.contributor.authorFrank, R.
dc.contributor.authorDone, D.J.
dc.contributor.authorDavey, N.
dc.date.accessioned2008-02-05T12:25:00Z
dc.date.available2008-02-05T12:25:00Z
dc.date.issued1999
dc.identifier.citationPower , W , Frank , R , Done , D J & Davey , N 1999 , ' A modular attractor model of semantic access ' , Lecture Notes in Computer Science (LNCS) , vol. 1606 , pp. 340-347 . https://doi.org/10.1007/BFb0098154
dc.identifier.issn0302-9743
dc.identifier.otherdspace: 2299/1576
dc.identifier.urihttp://hdl.handle.net/2299/1576
dc.descriptionThe original publication is available at www.springerlink.com . Copyright Springer. DOI : 10.1007/BFb0098154
dc.description.abstractThis paper presents results from lesion experiments on a modular attractor neural network model of semantic access. Real picture data forms the basis of perceptual input to the model. An ultrametric attractor space is used to represent semantic memory and is implemented using a biologically plausible variant of the Hopfield model. Lesioned performance is observed to be in agreement with neuropsychological data. A local field analysis of the attractor states of semantic space forms a basis for interpreting these results.en
dc.format.extent44358
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science (LNCS)
dc.titleA modular attractor model of semantic accessen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionPsychology
dc.contributor.institutionWeight and Obesity Research Group
dc.contributor.institutionCentre for Research in Psychology and Sport Sciences
dc.contributor.institutionHealth and Clinical Psychology Research Group
dc.contributor.institutionDepartment of Psychology, Sport and Geography
dc.contributor.institutionSchool of Life and Medical Sciences
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1007/BFb0098154
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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