Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era

Author:

Li Jiayi1ORCID,Abbas Haider1ORCID,Ang Diing Shenp1ORCID,Ali Asif1,Ju Xin2ORCID

Affiliation:

1. School of Electrical and Electronics Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798

2. Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Singapore 138634

Abstract

A review and universal benchmark for assessing the artificial neuron and synapse device performance from an energy perspective, with the introduction of neuromorphics from biological to electronics and their prospects.

Funder

Ministry of Education - Singapore

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Reference252 articles.

1. A logical calculus of the ideas immanent in nervous activity

2. F.Rosenblatt , The Perceptron—A Perceiving and Recognizing Automaton , Cornell Aeronautical Laboratory, Inc. , New York , 1957

3. Deep learning

4. P. J.Werbos , System Modeling and Optimization , Springer-Verlag , 1982 , ch. 84, pp. 762–770 10.1007/BFb0006203

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