Emergence of winner-takes-all connectivity paths in random nanowire networks

Nanowire networks with memristive properties are promising for neuromorphic applications. Here, the authors observe the formation of a preferred conduction pathway which uses the lowest possible energy to get through the network and could be exploited for the design of optimal brain-inspired devices...

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Autores principales:	Hugh G. Manning, Fabio Niosi, Claudia Gomes da Rocha, Allen T. Bellew, Colin O’Callaghan, Subhajit Biswas, Patrick F. Flowers, Benjamin J. Wiley, Justin D. Holmes, Mauro S. Ferreira, John J. Boland
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/773370e15962429d9dd7b1a739f7787e
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spelling	oai:doaj.org-article:773370e15962429d9dd7b1a739f7787e2021-12-02T14:39:25ZEmergence of winner-takes-all connectivity paths in random nanowire networks10.1038/s41467-018-05517-62041-1723https://doaj.org/article/773370e15962429d9dd7b1a739f7787e2018-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-05517-6https://doaj.org/toc/2041-1723Nanowire networks with memristive properties are promising for neuromorphic applications. Here, the authors observe the formation of a preferred conduction pathway which uses the lowest possible energy to get through the network and could be exploited for the design of optimal brain-inspired devices.Hugh G. ManningFabio NiosiClaudia Gomes da RochaAllen T. BellewColin O’CallaghanSubhajit BiswasPatrick F. FlowersBenjamin J. WileyJustin D. HolmesMauro S. FerreiraJohn J. BolandNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-9 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Hugh G. Manning Fabio Niosi Claudia Gomes da Rocha Allen T. Bellew Colin O’Callaghan Subhajit Biswas Patrick F. Flowers Benjamin J. Wiley Justin D. Holmes Mauro S. Ferreira John J. Boland Emergence of winner-takes-all connectivity paths in random nanowire networks
description	Nanowire networks with memristive properties are promising for neuromorphic applications. Here, the authors observe the formation of a preferred conduction pathway which uses the lowest possible energy to get through the network and could be exploited for the design of optimal brain-inspired devices.
format	article
author	Hugh G. Manning Fabio Niosi Claudia Gomes da Rocha Allen T. Bellew Colin O’Callaghan Subhajit Biswas Patrick F. Flowers Benjamin J. Wiley Justin D. Holmes Mauro S. Ferreira John J. Boland
author_facet	Hugh G. Manning Fabio Niosi Claudia Gomes da Rocha Allen T. Bellew Colin O’Callaghan Subhajit Biswas Patrick F. Flowers Benjamin J. Wiley Justin D. Holmes Mauro S. Ferreira John J. Boland
author_sort	Hugh G. Manning
title	Emergence of winner-takes-all connectivity paths in random nanowire networks
title_short	Emergence of winner-takes-all connectivity paths in random nanowire networks
title_full	Emergence of winner-takes-all connectivity paths in random nanowire networks
title_fullStr	Emergence of winner-takes-all connectivity paths in random nanowire networks
title_full_unstemmed	Emergence of winner-takes-all connectivity paths in random nanowire networks
title_sort	emergence of winner-takes-all connectivity paths in random nanowire networks
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/773370e15962429d9dd7b1a739f7787e
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Emergence of winner-takes-all connectivity paths in random nanowire networks

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