A neural network model of visual object recognition impairment after brain damage

dc.contributor.author	Davey, N.
dc.contributor.author	Frank, R.
dc.contributor.author	Gale, T.M.
dc.contributor.author	George, S.
dc.date.accessioned	2009-10-21T13:13:51Z
dc.date.available	2009-10-21T13:13:51Z
dc.date.issued	1998
dc.identifier.citation	Davey , 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.other	dspace: 2299/3984
dc.identifier.uri	http://hdl.handle.net/2299/3984
dc.description.abstract	Dysfunction 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.format.extent	44075
dc.language.iso	eng
dc.relation.ispartof	In: Procs of ICONIP 1998
dc.title	A neural network model of visual object recognition impairment after brain damage	en
dc.contributor.institution	Science & Technology Research Institute
dc.contributor.institution	School of Computer Science
rioxxterms.type	Other
herts.preservation.rarelyaccessed	true