An electro-photo-sensitive synaptic transistor for edge neuromorphic visual systems-Reference-Cited by-同舟云学术

An electro-photo-sensitive synaptic transistor for edge neuromorphic visual systems

Published:2019 Issue:38 Volume:11 Page:17590-17599
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Duan Nian¹²³⁴⁵,Li Yi¹²³⁴⁵^ORCID,Chiang Hsiao-Cheng⁶⁷⁸⁹,Chen Jia¹²³⁴⁵,Pan Wen-Qian¹²³⁴⁵,Zhou Ya-Xiong¹²³⁴⁵,Chien Yu-Chieh⁶⁷⁸⁹,He Yu-Hui¹²³⁴⁵^ORCID,Xue Kan-Hao¹²³⁴⁵^ORCID,Liu Gang¹⁰¹¹¹²⁵^ORCID,Chang Ting-Chang⁶⁷⁸⁹^ORCID,Miao Xiang-Shui¹²³⁴⁵^ORCID

Affiliation:

1. Wuhan National Laboratory for Optoelectronics

2. School of Optical and Electronic Information

3. Huazhong University of Science and Technology

4. Wuhan 430074

5. China

6. Department of Physics

7. National Sun Yat-Sen University

8. Kaohsiung 80424

9. Taiwan

10. School of Chemistry and Chemical Engineering

11. Shanghai Jiao Tong University

12. Shanghai 200240

Abstract

An electro-photo-sensitive synapse based on a highly reliable InGaZnO thin-film transistor is demonstrated to mimic synaptic functions and pattern-recognition functions.

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2019/NR/C9NR04195H

Reference50 articles.

1. The Emergence of Edge Computing

2. Perspective: A review on memristive hardware for neuromorphic computation