12786395

Source:http://linkedlifedata.com/resource/pubmed/id/12786395

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0243071, umls-concept:C0700327, umls-concept:C1442792, umls-concept:C2004457
pubmed:issue	4 Pt 1
pubmed:dateCreated	2003-6-5
pubmed:abstractText	We show that symmetric n-mixture states, when they exist, are almost never stable in autoassociative networks with threshold-linear units. Only with a binary coding scheme, we could find a limited region of the parameter space in which either 2-mixture or 3-mixture states are stable attractors of the dynamics.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/101136452
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Apr
pubmed:issn	1539-3755
pubmed:author	pubmed-author:RoudiYasserY, pubmed-author:TrevesAlessandroA
pubmed:issnType	Print
pubmed:volume	67
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	041906
pubmed:dateRevised	2008-11-21
pubmed:meshHeading	pubmed-meshheading:12786395-Animals, pubmed-meshheading:12786395-Biophysical Phenomena, pubmed-meshheading:12786395-Biophysics, pubmed-meshheading:12786395-Computer Simulation, pubmed-meshheading:12786395-Memory, pubmed-meshheading:12786395-Models, Statistical, pubmed-meshheading:12786395-Nerve Net
pubmed:year	2003
pubmed:articleTitle	Disappearance of spurious states in analog associative memories.
pubmed:affiliation	SISSA, Programme in Neuroscience, via Beirut 4, 34014 Trieste, Italy. yasser@sissa.it
pubmed:publicationType	Journal Article