CMOS Compatible Bio-Realistic Implementation with Ag/HfO2-Based Synaptic Nanoelectronics for Artificial Neuromorphic System

CMOS Compatible Bio-Realistic Implementation with Ag/HfO2-Based Synaptic Nanoelectronics for Artificial Neuromorphic System

The emerging resistive switching devices have attracted broad interest as promising candidates for future memory and computing applications. Particularly, it is believed that memristor-based neuromorphic engineering promises to enable efficient artificial neuromorphic systems. In this work, the syna...

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Bibliographic Details
Main Authors: Lin Chen, Zhen-Yu He, Tian-Yu Wang, Ya-Wei Dai, Hao Zhu, Qing-Qing Sun, David Wei Zhang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Electronics
Subjects:
memristor
synaptic device
spike-timing-dependent plasticity
neuromorphic computation
Online Access:http://www.mdpi.com/2079-9292/7/6/80

Internet

http://www.mdpi.com/2079-9292/7/6/80

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