@inproceedings{b5e48cf9c619411fb1964807bfcb3108,
title = "Neuromorphic Properties of Memristor towards Artificial Intelligence",
abstract = "Recent implementations of memristors have opened up the possibility of making brain-like artificial intelligence neuromorphic computing systems, including highly scalable and low-power neural networks. In fact, it has been demonstrated that a memristors can be implemented as an artificial synapse or as a protruding core of an artificial neuron. This paper reviews the neuromorphic properties of memristors, as well as the similarities of neural computation, synapses, and neurons.",
keywords = "Artificial Neural Network, Memristor, Neuromorphic",
author = "Chun Zhao and Shen, \{Zong Jie\} and Zhou, \{Guang You\} and Cezhou Zhao and Li Yang and Man, \{Ka Lok\} and Lim, \{Eng Gee\}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th International SoC Design Conference, ISOCC 2018 ; Conference date: 12-11-2018 Through 15-11-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/ISOCC.2018.8649926",
language = "English",
series = "Proceedings - International SoC Design Conference 2018, ISOCC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "172--173",
booktitle = "Proceedings - International SoC Design Conference 2018, ISOCC 2018",
}