Neuromorphic Properties of Memristor towards Artificial Intelligence

Chun Zhao, Zong Jie Shen, Guang You Zhou, Ce Zhou Zhao, Li Yang, Ka Lok Man, Eng Gee Lim

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2018, ISOCC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages172-173
Number of pages2
ISBN (Electronic)9781538679609
DOIs
Publication statusPublished - 2 Jul 2018
Event15th International SoC Design Conference, ISOCC 2018 - Daegu, Korea, Republic of
Duration: 12 Nov 201815 Nov 2018

Publication series

NameProceedings - International SoC Design Conference 2018, ISOCC 2018

Conference

Conference15th International SoC Design Conference, ISOCC 2018
Country/TerritoryKorea, Republic of
CityDaegu
Period12/11/1815/11/18

Keywords

  • Artificial Neural Network
  • Memristor
  • Neuromorphic

Cite this