Random neural networks with state-dependent firing neurons

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dc.contributor.authorJo, Sunghoko
dc.contributor.authorYin, HJko
dc.contributor.authorMao, ZHko
dc.date.accessioned2013-03-07T11:15:15Z-
dc.date.available2013-03-07T11:15:15Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2005-07-
dc.identifier.citationIEEE TRANSACTIONS ON NEURAL NETWORKS, v.16, no.4, pp.980 - 983-
dc.identifier.issn1045-9227-
dc.identifier.urihttp://hdl.handle.net/10203/90037-
dc.description.abstractThis letter studies the properties of the random neural networks (RNNs) with state-dependent firing neurons. It is assumed that the times between successive signal emissions of a neuron are dependent on the neuron potential. Under certain conditions, the networks keep the simple product form of stationary solutions and exhibit enhanced capacity of adjusting the probability distribution of the neuron states. It is demonstrated that desired associative memory states can be stored in the networks.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.subjectSPIKING NEURONS-
dc.titleRandom neural networks with state-dependent firing neurons-
dc.typeArticle-
dc.identifier.wosid000230505600018-
dc.identifier.scopusid2-s2.0-23044509968-
dc.type.rimsART-
dc.citation.volume16-
dc.citation.issue4-
dc.citation.beginningpage980-
dc.citation.endingpage983-
dc.citation.publicationnameIEEE TRANSACTIONS ON NEURAL NETWORKS-
dc.identifier.doi10.1109/TNN.2005.849829-
dc.contributor.localauthorJo, Sungho-
dc.contributor.nonIdAuthorYin, HJ-
dc.contributor.nonIdAuthorMao, ZH-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorassociative memory-
dc.subject.keywordAuthorrandom neural networks (RNNs)-
dc.subject.keywordAuthorspiking neurons-
dc.subject.keywordAuthorstate-dependent firing rate-
dc.subject.keywordPlusSPIKING NEURONS-
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