DC Field | Value | Language |
---|---|---|
dc.contributor.author | Han, Joon-Kyu | ko |
dc.contributor.author | Oh, Jungyeop | ko |
dc.contributor.author | Yu, Ji-Man | ko |
dc.contributor.author | Choi, Sung-Yool | ko |
dc.contributor.author | Choi, Yang-Kyu | ko |
dc.date.accessioned | 2021-12-16T06:40:23Z | - |
dc.date.available | 2021-12-16T06:40:23Z | - |
dc.date.created | 2021-09-06 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.citation | SMALL, v.17, no.49 | - |
dc.identifier.issn | 1613-6810 | - |
dc.identifier.uri | http://hdl.handle.net/10203/290706 | - |
dc.description.abstract | A single transistor neuron (1T-neuron) is demonstrated by using a vertically protruded nanowire from an 8 in. silicon (Si) wafer. The 1T-neuron adopts a gate-all-around structure to completely surround the Si nanowire (Si-NW) to make a floating body and allow aggressive downscaling. The Si-NW is composed of an n(+) drain at the top, n(+) source at the bottom, and p-type floating body at the middle, which are self-aligned vertically. Thus, it occupies a small footprint area. The gate controls an excitatory/inhibitory function. In addition, myelination of a biological neuron that changes membrane capacitance is mimicked by an inherently asymmetric source/drain structure. Two spiking frequencies at the same input current are controlled by whether the neuron is myelinated or unmyelinated. Using the vertical 1T-neuron, pattern recognition is demonstrated with both measurements and semiempirical circuit simulations. Furthermore, handwritten numbers in the MNIST database are recognized with accuracy of 93% by software-based simulations. Applicability of the vertical 1T-neuron to various neural networks is verified, including a single-layer perceptron, multilayer perceptron, and spiking neural network. | - |
dc.language | English | - |
dc.publisher | WILEY-V C H VERLAG GMBH | - |
dc.title | A Vertical Silicon Nanowire Based Single Transistor Neuron with Excitatory, Inhibitory, and Myelination Functions for Highly Scalable Neuromorphic Hardware | - |
dc.type | Article | - |
dc.identifier.wosid | 000703013100001 | - |
dc.identifier.scopusid | 2-s2.0-85116084573 | - |
dc.type.rims | ART | - |
dc.citation.volume | 17 | - |
dc.citation.issue | 49 | - |
dc.citation.publicationname | SMALL | - |
dc.identifier.doi | 10.1002/smll.202103775 | - |
dc.contributor.localauthor | Choi, Sung-Yool | - |
dc.contributor.localauthor | Choi, Yang-Kyu | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | 1T-neuron | - |
dc.subject.keywordAuthor | excitatory | - |
dc.subject.keywordAuthor | inhibitory | - |
dc.subject.keywordAuthor | myelination | - |
dc.subject.keywordAuthor | neuromorphic | - |
dc.subject.keywordAuthor | vertical structure | - |
dc.subject.keywordPlus | ARTIFICIAL NEURON | - |
dc.subject.keywordPlus | SPIKING | - |
dc.subject.keywordPlus | NETWORK | - |
dc.subject.keywordPlus | CIRCUIT | - |
dc.subject.keywordPlus | MODEL | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.