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Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording
In this research, a high performance silicon nanowire field-effect transistor (transconductance as high as 34 µS and sensitivity as 84 nS/mV) is extensively studied and directly compared with planar passive microelectrode arrays for neural recording application. Electrical and electrochemical charac...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421665/ https://www.ncbi.nlm.nih.gov/pubmed/28350370 http://dx.doi.org/10.3390/s17040705 |
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author | Kang, Hongki Kim, Jee-Yeon Choi, Yang-Kyu Nam, Yoonkey |
author_facet | Kang, Hongki Kim, Jee-Yeon Choi, Yang-Kyu Nam, Yoonkey |
author_sort | Kang, Hongki |
collection | PubMed |
description | In this research, a high performance silicon nanowire field-effect transistor (transconductance as high as 34 µS 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. |
format | Online Article Text |
id | pubmed-5421665 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54216652017-05-12 Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording Kang, Hongki Kim, Jee-Yeon Choi, Yang-Kyu Nam, Yoonkey Sensors (Basel) Article In this research, a high performance silicon nanowire field-effect transistor (transconductance as high as 34 µS 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. MDPI 2017-03-28 /pmc/articles/PMC5421665/ /pubmed/28350370 http://dx.doi.org/10.3390/s17040705 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kang, Hongki Kim, Jee-Yeon Choi, Yang-Kyu Nam, Yoonkey Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording |
title | Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording |
title_full | Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording |
title_fullStr | Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording |
title_full_unstemmed | Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording |
title_short | Feasibility Study of Extended-Gate-Type Silicon Nanowire Field-Effect Transistors for Neural Recording |
title_sort | feasibility study of extended-gate-type silicon nanowire field-effect transistors for neural recording |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421665/ https://www.ncbi.nlm.nih.gov/pubmed/28350370 http://dx.doi.org/10.3390/s17040705 |
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