The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition

A binary spike-time-dependent plasticity (STDP) protocol based on one resistive-switching random access memory (RRAM) device was proposed and experimentally demonstrated in the fabricated RRAM array. Based on the STDP protocol, a novel unsupervised online pattern recognition system including RRAM sy...

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Detalles Bibliográficos
Autores principales: Zhou, Zheng, Liu, Chen, Shen, Wensheng, Dong, Zhen, Chen, Zhe, Huang, Peng, Liu, Lifeng, Liu, Xiaoyan, Kang, Jinfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2017
Materias:
Nano Express
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380558/
https://www.ncbi.nlm.nih.gov/pubmed/28381068
http://dx.doi.org/10.1186/s11671-017-2023-y
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author Zhou, Zheng
Liu, Chen
Shen, Wensheng
Dong, Zhen
Chen, Zhe
Huang, Peng
Liu, Lifeng
Liu, Xiaoyan
Kang, Jinfeng
author_facet Zhou, Zheng
Liu, Chen
Shen, Wensheng
Dong, Zhen
Chen, Zhe
Huang, Peng
Liu, Lifeng
Liu, Xiaoyan
Kang, Jinfeng
author_sort Zhou, Zheng
collection PubMed
description A binary spike-time-dependent plasticity (STDP) protocol based on one resistive-switching random access memory (RRAM) device was proposed and experimentally demonstrated in the fabricated RRAM array. Based on the STDP protocol, a novel unsupervised online pattern recognition system including RRAM synapses and CMOS neurons is developed. Our simulations show that the system can efficiently compete the handwritten digits recognition task, which indicates the feasibility of using the RRAM-based binary STDP protocol in neuromorphic computing systems to obtain good performance.
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spelling pubmed-53805582017-04-20 The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition Zhou, Zheng Liu, Chen Shen, Wensheng Dong, Zhen Chen, Zhe Huang, Peng Liu, Lifeng Liu, Xiaoyan Kang, Jinfeng Nanoscale Res Lett Nano Express A binary spike-time-dependent plasticity (STDP) protocol based on one resistive-switching random access memory (RRAM) device was proposed and experimentally demonstrated in the fabricated RRAM array. Based on the STDP protocol, a novel unsupervised online pattern recognition system including RRAM synapses and CMOS neurons is developed. Our simulations show that the system can efficiently compete the handwritten digits recognition task, which indicates the feasibility of using the RRAM-based binary STDP protocol in neuromorphic computing systems to obtain good performance. Springer US 2017-04-04 /pmc/articles/PMC5380558/ /pubmed/28381068 http://dx.doi.org/10.1186/s11671-017-2023-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Nano Express
Zhou, Zheng
Liu, Chen
Shen, Wensheng
Dong, Zhen
Chen, Zhe
Huang, Peng
Liu, Lifeng
Liu, Xiaoyan
Kang, Jinfeng
The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
title The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
title_full The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
title_fullStr The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
title_full_unstemmed The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
title_short The Characteristics of Binary Spike-Time-Dependent Plasticity in HfO(2)-Based RRAM and Applications for Pattern Recognition
title_sort characteristics of binary spike-time-dependent plasticity in hfo(2)-based rram and applications for pattern recognition
topic Nano Express
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380558/
https://www.ncbi.nlm.nih.gov/pubmed/28381068
http://dx.doi.org/10.1186/s11671-017-2023-y
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