Ultra-Low-Energy Three-Dimensional Oxide-Based Electronic Synapses for Implementation of Robust High-Accuracy Neuromorphic Computation Systems-Reference-Cited by-同舟云学术

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Ultra-Low-Energy Three-Dimensional Oxide-Based Electronic Synapses for Implementation of Robust High-Accuracy Neuromorphic Computation Systems

Published:2014-06-12 Issue:7 Volume:8 Page:6998-7004
ISSN:1936-0851
Container-title:ACS Nano
language:en
Short-container-title:ACS Nano

Author:

Gao Bin¹,Bi Yingjie¹,Chen Hong-Yu²,Liu Rui¹,Huang Peng¹,Chen Bing¹,Liu Lifeng¹,Liu Xiaoyan¹,Yu Shimeng³,Wong H.-S. Philip²,Kang Jinfeng¹

Affiliation:

1. Institute of Microelectronics, Peking University, Beijing 100871, China

2. Department of Electrical Engineering, Stanford University, Stanford, California 94305 United States

3. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, Arizona 85281, United States

Publisher

American Chemical Society (ACS)

Subject

General Physics and Astronomy,General Engineering,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/nn501824r

Reference32 articles.

1. First draft of a report on the EDVAC

2. Nanoscale RRAM-based synaptic electronics: toward a neuromorphic computing device

3. Self-organized computation with unreliable, memristive nanodevices

4. Neuromorphic electronic systems

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