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Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording

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dc.contributor.authorKang, Hongki-
dc.contributor.authorKim, Jee-Yeon-
dc.contributor.authorChoi, Yang-Kyu-
dc.contributor.authorNam, Yoonkey-
dc.date.accessioned2024-05-16T04:44:00Z-
dc.date.available2024-05-16T04:44:00Z-
dc.date.created2024-04-30-
dc.date.created2024-04-30-
dc.date.issued2017-04-
dc.identifier.citationSensors, Vol.17 No.4, p. 705-
dc.identifier.issn1424-8220-
dc.identifier.urihttps://hdl.handle.net/10371/203117-
dc.description.abstractIn this research, a high performance silicon nanowire field-effect transistor ( transconductance as high as 34 mu S and sensitivity as 84 nS/mV) is extensively studied and directly compared with planar passive microelectrode arrays for neural recording application. Electrical and electrochemical characteristics are carefully characterized in a very well-controlled manner. We especially focused on the signal amplification capability and intrinsic noise of the transistors. A neural recording system using both silicon nanowire field-effect transistor-based active-type microelectrode array and platinum black microelectrode-based passive-type microelectrode array are implemented and compared. An artificial neural spike signal is supplied as input to both arrays through a buffer solution and recorded simultaneously. Recorded signal intensity by the silicon nanowire transistor was precisely determined by an electrical characteristic of the transistor, transconductance. Signal-to-noise ratio was found to be strongly dependent upon the intrinsic 1/f noise of the silicon nanowire transistor. We found how signal strength is determined and how intrinsic noise of the transistor determines signal-to-noise ratio of the recorded neural signals. This study provides in-depth understanding of the overall neural recording mechanism using silicon nanowire transistors and solid design guideline for further improvement and development.-
dc.language영어-
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)-
dc.titleFeasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording-
dc.typeArticle-
dc.identifier.doi10.3390/s17040705-
dc.citation.journaltitleSensors-
dc.identifier.wosid000400822900046-
dc.identifier.scopusid2-s2.0-85016482715-
dc.citation.number4-
dc.citation.startpage705-
dc.citation.volume17-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorKang, Hongki-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusACTION-POTENTIALS-
dc.subject.keywordPlus1/F NOISE-
dc.subject.keywordPlusNEURONS-
dc.subject.keywordPlusARRAYS-
dc.subject.keywordPlusMICROELECTRODES-
dc.subject.keywordPlusCHANNEL-
dc.subject.keywordAuthorsilicon nanowire-
dc.subject.keywordAuthorfield-effect transistor (FETs)-
dc.subject.keywordAuthorneural recording-
dc.subject.keywordAuthor1/f noise-
dc.subject.keywordAuthorrandom telegraph noise-
dc.subject.keywordAuthormicroelectrode array-
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  • College of Medicine
  • Department of Medicine
Research Area Biosensors, Microelectronics, Neurotechnology

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