Volatile/non-volatile properties of memory in neural networks can be toggled by spike-timing-dependent-plasticity rules

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dc.contributor.authorPark, Youngjinko
dc.contributor.authorChoi, Woochulko
dc.contributor.authorPaik, Se-Bumko
dc.date.accessioned2017-01-03T06:13:41Z-
dc.date.available2017-01-03T06:13:41Z-
dc.date.created2016-11-30-
dc.date.created2016-11-30-
dc.date.created2016-11-30-
dc.date.issued2016-04-21-
dc.identifier.citation한국물리학회 봄 학술대회-
dc.identifier.urihttp://hdl.handle.net/10203/215319-
dc.languageEnglish-
dc.publisher한국물리학회-
dc.titleVolatile/non-volatile properties of memory in neural networks can be toggled by spike-timing-dependent-plasticity rules-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname한국물리학회 봄 학술대회-
dc.identifier.conferencecountryKO-
dc.identifier.conferencelocationDaejeon Convention Center-
dc.contributor.localauthorPaik, Se-Bum-
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BiS-Conference Papers(학술회의논문)
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