Spiking neural network system for dynamic control of flexible, stable and hybrid memory storage신경망 시스템을 이용한 정보의 장기, 단기, 및 하이브리드 기억을 위한 방법

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dc.contributor.authorPaik, Se-Bumko
dc.contributor.authorPark, Youngjinko
dc.date.accessioned2021-10-08T06:30:15Z-
dc.date.available2021-10-08T06:30:15Z-
dc.identifier.urihttp://hdl.handle.net/10203/288098-
dc.description.abstractProvided is a spiking neural network system for dynamical control of flexible, stable, and hybrid memory storage. An information storage method may include converting input information to a temporal pattern in a form of a spike; and storing the information that is converted to the temporal pattern in a spiking neural network. The storing may comprise storing information by applying, to the spiking neural network, a spike-timing-dependent plasticity (STDP) learning rate that is an unsupervised learning rule.-
dc.titleSpiking neural network system for dynamic control of flexible, stable and hybrid memory storage-
dc.title.alternative신경망 시스템을 이용한 정보의 장기, 단기, 및 하이브리드 기억을 위한 방법-
dc.typePatent-
dc.type.rimsPAT-
dc.contributor.localauthorPaik, Se-Bum-
dc.contributor.nonIdAuthorPark, Youngjin-
dc.contributor.assigneeKAIST-
dc.identifier.iprsType특허-
dc.identifier.patentApplicationNumber15720772-
dc.identifier.patentRegistrationNumber11068774-
dc.date.application2017-09-29-
dc.date.registration2021-07-20-
dc.publisher.countryUS-
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BiS-Patent(특허)
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