A RRAM-based grey pattern recognition system with spike-rate-dependent plasticity protocol

Zheng Zhou; Chen Liu; Yuning Jiang; Runze Han; Yudi Zhao; Peng Huang; Lifeng Liu; Xiaoyan Liu; Jinfeng Kang

doi:10.1364/ISST.2017.ISu5B.7

The International Photonics and Optoelectronics Meeting 2017
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper ISu5B.7
•https://doi.org/10.1364/ISST.2017.ISu5B.7

A RRAM-based grey pattern recognition system with spike-rate-dependent plasticity protocol

Zheng Zhou, Chen Liu, Yuning Jiang, Runze Han, Yudi Zhao, Peng Huang, Lifeng Liu, Xiaoyan Liu, and Jinfeng Kang

Information Storage System and Technology 2017

Wuhan, Hubei China
3–5 November 2017
ISBN: 978-1-943580-37-8

From the session
2nd Workshop on Memristor Theory, Device and Applications in Wuhan (ISu5B)

Open Access

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Z. Zhou, C. Liu, Y. Jiang, R. Han, Y. Zhao, P. Huang, L. Liu, X. Liu, and J. Kang, "A RRAM-based grey pattern recognition system with spike-rate-dependent plasticity protocol," in The International Photonics and Optoelectronics Meeting 2017, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper ISu5B.7.

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Abstract

A spike-rate-dependent plasticity (SRDP) protocol was experimentally verified in HfOx-based RRAM array. A grey pattern recognition system is designed to demonstrate the potential application of the protocol in brain-inspired computing.

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