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Neural coding using telegraphic switching of magnetic tunnel junction
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Suh, Dong Ik | - |
| dc.contributor.author | Bae, Gi Yoon | - |
| dc.contributor.author | Oh, Heong Sik | - |
| dc.contributor.author | Park, Wanjun | - |
| dc.date.accessioned | 2022-07-15T23:00:51Z | - |
| dc.date.available | 2022-07-15T23:00:51Z | - |
| dc.date.issued | 2015-05 | - |
| dc.identifier.issn | 0021-8979 | - |
| dc.identifier.issn | 1089-7550 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/157339 | - |
| dc.description.abstract | In this work, we present a synaptic transmission representing neural coding with spike trains by using a magnetic tunnel junction (MTJ). Telegraphic switching generates an artificial neural signal with both the applied magnetic field and the spin-transfer torque that act as conflicting inputs for modulating the number of spikes in spike trains. The spiking probability is observed to be weighted with modulation between 27.6% and 99.8% by varying the amplitude of the voltage input or the external magnetic field. With a combination of the reverse coding scheme and the synaptic characteristic of MTJ, an artificial function for the synaptic transmission is achieved. | - |
| dc.format.extent | 3 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | American Institute of Physics | - |
| dc.title | Neural coding using telegraphic switching of magnetic tunnel junction | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1063/1.4914071 | - |
| dc.identifier.scopusid | 2-s2.0-84924854236 | - |
| dc.identifier.wosid | 000354984100419 | - |
| dc.identifier.bibliographicCitation | Journal of Applied Physics, v.117, no.17, pp 1 - 3 | - |
| dc.citation.title | Journal of Applied Physics | - |
| dc.citation.volume | 117 | - |
| dc.citation.number | 17 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 3 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.subject.keywordPlus | FIRE NEURONS | - |
| dc.subject.keywordPlus | MEMRISTOR | - |
| dc.subject.keywordPlus | SYNAPSES | - |
| dc.subject.keywordPlus | NETWORK | - |
| dc.identifier.url | https://aip.scitation.org/doi/10.1063/1.4914071 | - |
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