Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3872
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dc.contributor.authorJEDRZEJEWSKI, J-
dc.contributor.authorKomoda, A.-
dc.date.accessioned2007-11-29T15:00:18Z-
dc.date.available2007-11-29T15:00:18Z-
dc.date.issued1992-
dc.identifier.citationEUROPHYSICS LETTERS, 18(3). p. 275-281-
dc.identifier.issn0295-5075-
dc.identifier.urihttp://hdl.handle.net/1942/3872-
dc.description.abstractWe study the dynamics of the maximally stable network of analog neurons with a parallel update rule. For this type of network we determine the size of the basins of attraction and the effect of random destruction of synapses on the size of the basins of attraction and the attractor overlap. We present analytical and numerical results showing the significant increase of the wide retrieval regime in comparison with binary networks. On the other hand, we find that, in contradistinction to binary networks, our analog network fails to perform as an autoassociative memory if the percentage of cancelled synapses is larger than a certain critical value.-
dc.language.isoen-
dc.publisherEDITIONS PHYSIQUE-
dc.titleDYNAMICS OF HIGHLY DILUTED NETWORKS OF CONTINUOUS NEURONS-
dc.typeJournal Contribution-
dc.identifier.epage281-
dc.identifier.issue3-
dc.identifier.spage275-
dc.identifier.volume18-
local.format.pages7-
dc.description.notesLIMBURGS UNIV CENTRUM,B-3590 DIEPENBEEK,BELGIUM.JEDRZEJEWSKI, J, WROCLAW UNIV,INST THEORET PHYS,CYBULSKIEGO 36,PL-50205 WROCLAW,POLAND.-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.isiA1992HH05800015-
item.fulltextNo Fulltext-
item.contributorKomoda, A.-
item.contributorJEDRZEJEWSKI, J-
item.fullcitationJEDRZEJEWSKI, J & Komoda, A. (1992) DYNAMICS OF HIGHLY DILUTED NETWORKS OF CONTINUOUS NEURONS. In: EUROPHYSICS LETTERS, 18(3). p. 275-281.-
item.accessRightsClosed Access-
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