Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review

Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, specially for edge computing. Recent progress in computational neuroscience have demonstrated the importance of heterosyn...

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Autores principales:	Yann Beilliard, Fabien Alibart
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	memristive devices artificial synapse heterosynaptic plasticity synaptic interactions neuromorphic computing 2D materials Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c8a3b15aa4cc4bd8a0c8a9783d5a08bd
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spelling	oai:doaj.org-article:c8a3b15aa4cc4bd8a0c8a9783d5a08bd2021-11-19T07:55:03ZMulti-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review2673-301310.3389/fnano.2021.779070https://doaj.org/article/c8a3b15aa4cc4bd8a0c8a9783d5a08bd2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnano.2021.779070/fullhttps://doaj.org/toc/2673-3013Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, specially for edge computing. Recent progress in computational neuroscience have demonstrated the importance of heterosynaptic plasticity for network activity regulation and memorization. Implementing heterosynaptic plasticity in hardware is thus highly desirable, but important materials and engineering challenges remain, calling for breakthroughs in neuromorphic devices. In this mini-review, we propose an overview of the latest advances in multi-terminal memristive devices on silicon with tunable synaptic plasticity, enabling heterosynaptic plasticity in hardware. The scalability and compatibility of the devices with industrial complementary metal oxide semiconductor (CMOS) technologies are discussed.Yann BeilliardYann BeilliardFabien AlibartFabien AlibartFrontiers Media S.A.articlememristive devicesartificial synapseheterosynaptic plasticitysynaptic interactionsneuromorphic computing2D materialsChemical technologyTP1-1185ENFrontiers in Nanotechnology, Vol 3 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	memristive devices artificial synapse heterosynaptic plasticity synaptic interactions neuromorphic computing 2D materials Chemical technology TP1-1185
spellingShingle	memristive devices artificial synapse heterosynaptic plasticity synaptic interactions neuromorphic computing 2D materials Chemical technology TP1-1185 Yann Beilliard Yann Beilliard Fabien Alibart Fabien Alibart Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review
description	Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, specially for edge computing. Recent progress in computational neuroscience have demonstrated the importance of heterosynaptic plasticity for network activity regulation and memorization. Implementing heterosynaptic plasticity in hardware is thus highly desirable, but important materials and engineering challenges remain, calling for breakthroughs in neuromorphic devices. In this mini-review, we propose an overview of the latest advances in multi-terminal memristive devices on silicon with tunable synaptic plasticity, enabling heterosynaptic plasticity in hardware. The scalability and compatibility of the devices with industrial complementary metal oxide semiconductor (CMOS) technologies are discussed.
format	article
author	Yann Beilliard Yann Beilliard Fabien Alibart Fabien Alibart
author_facet	Yann Beilliard Yann Beilliard Fabien Alibart Fabien Alibart
author_sort	Yann Beilliard
title	Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review
title_short	Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review
title_full	Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review
title_fullStr	Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review
title_full_unstemmed	Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review
title_sort	multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/c8a3b15aa4cc4bd8a0c8a9783d5a08bd
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Multi-Terminal Memristive Devices Enabling Tunable Synaptic Plasticity in Neuromorphic Hardware: A Mini-Review

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