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dc.contributor.authorDavey, N.
dc.contributor.authorFrank, R.
dc.contributor.authorGale, T.M.
dc.contributor.authorGeorge, S.
dc.date.accessioned2009-10-21T13:13:51Z
dc.date.available2009-10-21T13:13:51Z
dc.date.issued1998
dc.identifier.citationDavey , N , Frank , R , Gale , T M & George , S 1998 , A neural network model of visual object recognition impairment after brain damage . in In: Procs of ICONIP 1998 . pp. 1470-1473 .
dc.identifier.otherPURE: 406553
dc.identifier.otherPURE UUID: f34dffea-6fc2-4d81-803b-b5419ba3c5ce
dc.identifier.otherdspace: 2299/3984
dc.identifier.urihttp://hdl.handle.net/2299/3984
dc.description.abstractDysfunction of the visual object recognition system in humans is briefly discussed and a basic connectionist model of visual object recognition is introduced. Experimentation in which two variants of this model are lesioned is undertaken. The results suggest that the well documented phenomenon of superordinate preservation is model independent. Differential category specific recognition deficits are also observed in this model, however these are sensitive to each particular variant.en
dc.language.isoeng
dc.relation.ispartofIn: Procs of ICONIP 1998
dc.rightsOpen
dc.titleA neural network model of visual object recognition impairment after brain damageen
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted1998
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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