Versatile SrFeOx for memristive neurons and synapses

Versatile SrFeOx for memristive neurons and synapses

Spiking neural network (SNN) consisting of memristor-based artificial neurons and synapses has emerged as a compact and energy-efficient hardware solution for spatiotemporal information processing. However, it is challenging to develop memristive neurons and synapses based on the same material syste...

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Bibliographic Details
Main Authors: Kaihui Chen, Zhen Fan, Jingjing Rao, Wenjie Li, Deming Wang, Changjian Li, Gaokuo Zhong, Ruiqiang Tao, Guo Tian, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Journal of Materiomics
Subjects:
Memristors
Artificial synapses
Artificial neurons
Spiking neural network
SrFeOx
Online Access:http://www.sciencedirect.com/science/article/pii/S2352847822000399

Internet

http://www.sciencedirect.com/science/article/pii/S2352847822000399

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