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DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 158 | - |
dc.citation.startPage | 153 | - |
dc.citation.title | NEUROCOMPUTING | - |
dc.citation.volume | 155 | - |
dc.contributor.author | Kang, Dae-Hwan | - |
dc.contributor.author | Jun, Hyun-Goo | - |
dc.contributor.author | Ryoo, Kyung-Chang | - |
dc.contributor.author | Jeong, Hongsik | - |
dc.contributor.author | Sohn, Hyunchul | - |
dc.date.accessioned | 2023-12-22T01:12:35Z | - |
dc.date.available | 2023-12-22T01:12:35Z | - |
dc.date.created | 2019-07-11 | - |
dc.date.issued | 2015-05 | - |
dc.description.abstract | The spike-timing dependent plasticity (STDP) of biological synapses, which is known to be a function of the formulated Hebbian learning rule of human cognition, learning and memory abilities, was emulated with two-phase change memory (2-PCM) cells built with 39 nm technology. For this, we designed a novel time-modulated voltage (TMV) scheme for changing the conductance of 2-PCM cells, that could produce both long-term potentiation (LTP) and long-term depression (LTD) by applying variable (decreasing/increasing) pulse voltages according to the sign and magnitude in time interval between pre- and post-spikes. Since such schemes can be easily modified to have a variety of pulse shapes and time intervals between pulses, it is expected to be a proper scheme for designing diverse synaptic connection abilities. In addition, the small form factor and low energy consumption of 2-PCM make them comparable to biological synapses, which makes phase change memory a promising candidate for electronic synapses in large-scale neuromorphic system applications. | - |
dc.identifier.bibliographicCitation | NEUROCOMPUTING, v.155, pp.153 - 158 | - |
dc.identifier.doi | 10.1016/j.neucom.2014.12.036 | - |
dc.identifier.issn | 0925-2312 | - |
dc.identifier.scopusid | 2-s2.0-84922824950 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/27134 | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0925231214017007?via%3Dihub | - |
dc.identifier.wosid | 000350934600017 | - |
dc.language | 영어 | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | Emulation of spike-timing dependent plasticity in nano-scale phase change memory | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Spike-timing dependent plasticity | - |
dc.subject.keywordAuthor | Two-phase change memory cells | - |
dc.subject.keywordAuthor | Long-term potentiation | - |
dc.subject.keywordAuthor | Long-term depression | - |
dc.subject.keywordAuthor | Electronic synapses | - |
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