Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정두석 | - |
dc.date.accessioned | 2018-05-29T02:09:46Z | - |
dc.date.available | 2018-05-29T02:09:46Z | - |
dc.date.issued | 2016-05 | - |
dc.identifier.citation | FRONTIERS IN NEUROSCIENCE, v.10, page.1-16 | en_US |
dc.identifier.issn | 1662-453X | - |
dc.identifier.uri | https://www.frontiersin.org/articles/10.3389/fnins.2016.00212/full | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/71593 | - |
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. | en_US |
dc.description.sponsorship | The authors acknowledge a Korea Institute of Science and Technology grant (grant number 2E26691). | en_US |
dc.language.iso | en | en_US |
dc.publisher | FRONTIERS MEDIA SA | en_US |
dc.subject | floating-gate integrator | en_US |
dc.subject | leaky integrate-and-fire neuron | en_US |
dc.subject | spiking neural network | en_US |
dc.subject | synaptic transistor | en_US |
dc.subject | spatial integration | en_US |
dc.title | Leaky integrate-and-fire neuron circuit based on floating-gate integrator | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3389/fnins.2016.00212 | - |
dc.relation.journal | FRONTIERS IN NEUROSCIENCE | - |
dc.contributor.googleauthor | Kornijcuk, Vladimir | - |
dc.contributor.googleauthor | Lim, Hyungkwang | - |
dc.contributor.googleauthor | Seok, Jun Yeong | - |
dc.contributor.googleauthor | Kim, Guhyun | - |
dc.contributor.googleauthor | Kim, Seong Keun | - |
dc.contributor.googleauthor | Kim, Inho | - |
dc.contributor.googleauthor | Choi, Byung Joon | - |
dc.contributor.googleauthor | Jeong, Doo Seok | - |
dc.relation.code | 2016012403 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MATERIALS SCIENCE AND ENGINEERING | - |
dc.identifier.pid | dooseokj | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.