LiSiOx Analog Memristive Synapse for Neuromorphic Computing

Jia Chen

doi:10.1364/ISST.2017.IS5B.4

The International Photonics and Optoelectronics Meeting 2017
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper IS5B.4
•https://doi.org/10.1364/ISST.2017.IS5B.4

LiSiOx Analog Memristive Synapse for Neuromorphic Computing

Jia Chen

Information Storage System and Technology 2017

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

From the session
Best Student Paper Session (IS5B)

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J. Chen, "LiSiOx Analog Memristive Synapse for Neuromorphic Computing," in The International Photonics and Optoelectronics Meeting 2017, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper IS5B.4.

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Abstract

We presented a LiSiOX analog memristive synapse device with 100-level potentiated and depressed conductance states, which is utilized in a simulated back-propagation neural network for pattern recognition.

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