Leaky integrate-and-fire neuron circuit based on floating-gate integrator
DC Field | Value | Language |
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dc.contributor.author | Kornijcuk, Vladimir | - |
dc.contributor.author | Lim, Hyungkwang | - |
dc.contributor.author | Seok, Jun Yeong | - |
dc.contributor.author | Kim, Guhyun | - |
dc.contributor.author | Kim, Seong Keun | - |
dc.contributor.author | Kim, Inho | - |
dc.contributor.author | Choi, Byung Joon | - |
dc.contributor.author | Jeong, Doo Seok | - |
dc.date.accessioned | 2021-08-02T16:52:50Z | - |
dc.date.available | 2021-08-02T16:52:50Z | - |
dc.date.created | 2021-05-14 | - |
dc.date.issued | 2016-05 | - |
dc.identifier.issn | 1662-4548 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/23062 | - |
dc.description.abstract | The artificial spiking neural network (SNN) is promising and has been brought to the notice of the theoretical neuroscience and neuromorphic engineering research communities. In this light, we propose a new type of artificial spiking neuron based on leaky integrate-and-fire (LIF) behavior. A distinctive feature of the proposed FG-LIF neuron is the use of a floating-gate (FG) integrator rather than a capacitor-based one. The relaxation time of the charge on the FG relies mainly on the tunnel barrier profile, e.g., barrier height and thickness (rather than the area). This opens up the possibility of large-scale integration of neurons. The circuit simulation results offered biologically plausible spiking activity (<100 Hz) with a capacitor of merely 6 fF, which is hosted in an FG metal-oxide-semiconductor field-effect transistor. The FG-LIF neuron also has the advantage of low operation power (<30 pW/spike). Finally, the proposed circuit was subject to possible types of noise, e.g., thermal noise and burst noise. The simulation results indicated remarkable distributional features of interspike intervals that are fitted to Gamma distribution functions, similar to biological neurons in the neocortex. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | FRONTIERS MEDIA SA | - |
dc.title | Leaky integrate-and-fire neuron circuit based on floating-gate integrator | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Doo Seok | - |
dc.identifier.doi | 10.3389/fnins.2016.00212 | - |
dc.identifier.scopusid | 2-s2.0-84973532127 | - |
dc.identifier.wosid | 000376245500001 | - |
dc.identifier.bibliographicCitation | FRONTIERS IN NEUROSCIENCE, v.10, pp.1 - 16 | - |
dc.relation.isPartOf | FRONTIERS IN NEUROSCIENCE | - |
dc.citation.title | FRONTIERS IN NEUROSCIENCE | - |
dc.citation.volume | 10 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 16 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.subject.keywordPlus | RANDOM TELEGRAPH NOISE | - |
dc.subject.keywordPlus | TUNNELING CURRENT | - |
dc.subject.keywordPlus | SPIKING NEURONS | - |
dc.subject.keywordPlus | SILICON | - |
dc.subject.keywordPlus | SYNAPSES | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | ELECTRODE | - |
dc.subject.keywordPlus | DESIGN | - |
dc.subject.keywordPlus | ARRAY | - |
dc.subject.keywordAuthor | floating-gate integrator | - |
dc.subject.keywordAuthor | leaky integrate-and-fire neuron | - |
dc.subject.keywordAuthor | spiking neural network | - |
dc.subject.keywordAuthor | synaptic transistor | - |
dc.subject.keywordAuthor | spatial integration | - |
dc.identifier.url | https://www.frontiersin.org/articles/10.3389/fnins.2016.00212/full | - |
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