Spiking neurons from tunable Gaussian heterojunction transistors

Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to realize simplified spiking neuron circuits.

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Autores principales:	Megan E. Beck, Ahish Shylendra, Vinod K. Sangwan, Silu Guo, William A. Gaviria Rojas, Hocheon Yoo, Hadallia Bergeron, Katherine Su, Amit R. Trivedi, Mark C. Hersam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/4bbd6d5c2b1f4d8f83394ac1c32b1319
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spelling	oai:doaj.org-article:4bbd6d5c2b1f4d8f83394ac1c32b13192021-12-02T16:49:45ZSpiking neurons from tunable Gaussian heterojunction transistors10.1038/s41467-020-15378-72041-1723https://doaj.org/article/4bbd6d5c2b1f4d8f83394ac1c32b13192020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15378-7https://doaj.org/toc/2041-1723Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to realize simplified spiking neuron circuits.Megan E. BeckAhish ShylendraVinod K. SangwanSilu GuoWilliam A. Gaviria RojasHocheon YooHadallia BergeronKatherine SuAmit R. TrivediMark C. HersamNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Megan E. Beck Ahish Shylendra Vinod K. Sangwan Silu Guo William A. Gaviria Rojas Hocheon Yoo Hadallia Bergeron Katherine Su Amit R. Trivedi Mark C. Hersam Spiking neurons from tunable Gaussian heterojunction transistors
description	Designing high performance, scalable, and energy efficient spiking neural networks remains a challenge. Here, the authors utilize mixed-dimensional dual-gated Gaussian heterojunction transistors from single-walled carbon nanotubes and monolayer MoS2 to realize simplified spiking neuron circuits.
format	article
author	Megan E. Beck Ahish Shylendra Vinod K. Sangwan Silu Guo William A. Gaviria Rojas Hocheon Yoo Hadallia Bergeron Katherine Su Amit R. Trivedi Mark C. Hersam
author_facet	Megan E. Beck Ahish Shylendra Vinod K. Sangwan Silu Guo William A. Gaviria Rojas Hocheon Yoo Hadallia Bergeron Katherine Su Amit R. Trivedi Mark C. Hersam
author_sort	Megan E. Beck
title	Spiking neurons from tunable Gaussian heterojunction transistors
title_short	Spiking neurons from tunable Gaussian heterojunction transistors
title_full	Spiking neurons from tunable Gaussian heterojunction transistors
title_fullStr	Spiking neurons from tunable Gaussian heterojunction transistors
title_full_unstemmed	Spiking neurons from tunable Gaussian heterojunction transistors
title_sort	spiking neurons from tunable gaussian heterojunction transistors
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/4bbd6d5c2b1f4d8f83394ac1c32b1319
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Spiking neurons from tunable Gaussian heterojunction transistors

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