Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices

Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices

Designing reliable and energy efficient neuromorphic computing systems for spatiotemporal coding remains a challenge. Here, the authors demonstrate a type of spike-rate-dependent plasticity based on a triplet learning scheme in a WO3−x-based second-order memristor network for spatiotemporal patterns...

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Autores principales: Zhongqiang Wang, Tao Zeng, Yanyun Ren, Ya Lin, Haiyang Xu, Xiaoning Zhao, Yichun Liu, Daniele Ielmini
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/34d26fa546a14f63a7dcc7005ef6316b
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spelling oai:doaj.org-article:34d26fa546a14f63a7dcc7005ef6316b2021-12-02T14:40:53ZToward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices10.1038/s41467-020-15158-32041-1723https://doaj.org/article/34d26fa546a14f63a7dcc7005ef6316b2020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15158-3https://doaj.org/toc/2041-1723Designing reliable and energy efficient neuromorphic computing systems for spatiotemporal coding remains a challenge. Here, the authors demonstrate a type of spike-rate-dependent plasticity based on a triplet learning scheme in a WO3−x-based second-order memristor network for spatiotemporal patterns.Zhongqiang WangTao ZengYanyun RenYa LinHaiyang XuXiaoning ZhaoYichun LiuDaniele IelminiNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Zhongqiang Wang
Tao Zeng
Yanyun Ren
Ya Lin
Haiyang Xu
Xiaoning Zhao
Yichun Liu
Daniele Ielmini
Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
description Designing reliable and energy efficient neuromorphic computing systems for spatiotemporal coding remains a challenge. Here, the authors demonstrate a type of spike-rate-dependent plasticity based on a triplet learning scheme in a WO3−x-based second-order memristor network for spatiotemporal patterns.
format article
author Zhongqiang Wang
Tao Zeng
Yanyun Ren
Ya Lin
Haiyang Xu
Xiaoning Zhao
Yichun Liu
Daniele Ielmini
author_facet Zhongqiang Wang
Tao Zeng
Yanyun Ren
Ya Lin
Haiyang Xu
Xiaoning Zhao
Yichun Liu
Daniele Ielmini
author_sort Zhongqiang Wang
title Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
title_short Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
title_full Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
title_fullStr Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
title_full_unstemmed Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices
title_sort toward a generalized bienenstock-cooper-munro rule for spatiotemporal learning via triplet-stdp in memristive devices
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/34d26fa546a14f63a7dcc7005ef6316b
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