Reservoir computing using dynamic memristors for temporal information processing

Reservoir computing using dynamic memristors for temporal information processing

Reservoir computing facilitates the projection of temporal input signals onto a high-dimensional feature space via a dynamic system, known as the reservoir. Du et al. realise this concept using metal-oxide-based memristors with short-term memory to perform digit recognition tasks and solve non-linea...

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Main Authors: Chao Du, Fuxi Cai, Mohammed A. Zidan, Wen Ma, Seung Hwan Lee, Wei D. Lu
Format: Article
Language:English
Published: Nature Publishing Group 2017-12-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-02337-y
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spelling doaj-9eb08d5fe40a478494b1a18e786aece42021-05-11T07:02:06ZengNature Publishing GroupNature Communications2041-17232017-12-018111010.1038/s41467-017-02337-yReservoir computing using dynamic memristors for temporal information processingChao Du0Fuxi Cai1Mohammed A. Zidan2Wen Ma3Seung Hwan Lee4Wei D. Lu5Department of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganDepartment of Electrical Engineering and Computer Science, University of MichiganReservoir computing facilitates the projection of temporal input signals onto a high-dimensional feature space via a dynamic system, known as the reservoir. Du et al. realise this concept using metal-oxide-based memristors with short-term memory to perform digit recognition tasks and solve non-linear problems.https://doi.org/10.1038/s41467-017-02337-y
collection DOAJ
language English
format Article
sources DOAJ
author Chao Du
Fuxi Cai
Mohammed A. Zidan
Wen Ma
Seung Hwan Lee
Wei D. Lu
spellingShingle Chao Du
Fuxi Cai
Mohammed A. Zidan
Wen Ma
Seung Hwan Lee
Wei D. Lu
Reservoir computing using dynamic memristors for temporal information processing
Nature Communications
author_facet Chao Du
Fuxi Cai
Mohammed A. Zidan
Wen Ma
Seung Hwan Lee
Wei D. Lu
author_sort Chao Du
title Reservoir computing using dynamic memristors for temporal information processing
title_short Reservoir computing using dynamic memristors for temporal information processing
title_full Reservoir computing using dynamic memristors for temporal information processing
title_fullStr Reservoir computing using dynamic memristors for temporal information processing
title_full_unstemmed Reservoir computing using dynamic memristors for temporal information processing
title_sort reservoir computing using dynamic memristors for temporal information processing
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2017-12-01
description Reservoir computing facilitates the projection of temporal input signals onto a high-dimensional feature space via a dynamic system, known as the reservoir. Du et al. realise this concept using metal-oxide-based memristors with short-term memory to perform digit recognition tasks and solve non-linear problems.
url https://doi.org/10.1038/s41467-017-02337-y
work_keys_str_mv AT chaodu reservoircomputingusingdynamicmemristorsfortemporalinformationprocessing
AT fuxicai reservoircomputingusingdynamicmemristorsfortemporalinformationprocessing
AT mohammedazidan reservoircomputingusingdynamicmemristorsfortemporalinformationprocessing
AT wenma reservoircomputingusingdynamicmemristorsfortemporalinformationprocessing
AT seunghwanlee reservoircomputingusingdynamicmemristorsfortemporalinformationprocessing
AT weidlu reservoircomputingusingdynamicmemristorsfortemporalinformationprocessing
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