Graphene memristive synapses for high precision neuromorphic computing

Designing efficient and low power memristors-based neuromorphic systems remains a challenge. Here, the authors present graphene-based multi-level (>16) and non-volatile memristive synapses with arbitrarily programmable conductance states capable of weight assignment based on k-means clustering.

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Detalles Bibliográficos
Autores principales:	Thomas F. Schranghamer, Aaryan Oberoi, Saptarshi Das
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a130631a23e64efc851890dbc7347d88
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spelling	oai:doaj.org-article:a130631a23e64efc851890dbc7347d882021-12-02T16:49:15ZGraphene memristive synapses for high precision neuromorphic computing10.1038/s41467-020-19203-z2041-1723https://doaj.org/article/a130631a23e64efc851890dbc7347d882020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19203-zhttps://doaj.org/toc/2041-1723Designing efficient and low power memristors-based neuromorphic systems remains a challenge. Here, the authors present graphene-based multi-level (>16) and non-volatile memristive synapses with arbitrarily programmable conductance states capable of weight assignment based on k-means clustering.Thomas F. SchranghamerAaryan OberoiSaptarshi DasNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Thomas F. Schranghamer Aaryan Oberoi Saptarshi Das Graphene memristive synapses for high precision neuromorphic computing
description	Designing efficient and low power memristors-based neuromorphic systems remains a challenge. Here, the authors present graphene-based multi-level (>16) and non-volatile memristive synapses with arbitrarily programmable conductance states capable of weight assignment based on k-means clustering.
format	article
author	Thomas F. Schranghamer Aaryan Oberoi Saptarshi Das
author_facet	Thomas F. Schranghamer Aaryan Oberoi Saptarshi Das
author_sort	Thomas F. Schranghamer
title	Graphene memristive synapses for high precision neuromorphic computing
title_short	Graphene memristive synapses for high precision neuromorphic computing
title_full	Graphene memristive synapses for high precision neuromorphic computing
title_fullStr	Graphene memristive synapses for high precision neuromorphic computing
title_full_unstemmed	Graphene memristive synapses for high precision neuromorphic computing
title_sort	graphene memristive synapses for high precision neuromorphic computing
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/a130631a23e64efc851890dbc7347d88
work_keys_str_mv	AT thomasfschranghamer graphenememristivesynapsesforhighprecisionneuromorphiccomputing AT aaryanoberoi graphenememristivesynapsesforhighprecisionneuromorphiccomputing AT saptarshidas graphenememristivesynapsesforhighprecisionneuromorphiccomputing
_version_	1718383412812709888

Graphene memristive synapses for high precision neuromorphic computing

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