A bio-inspired physically transient/biodegradable synapse for security neuromorphic computing based on memristors-Reference-Cited by-同舟云学术

A bio-inspired physically transient/biodegradable synapse for security neuromorphic computing based on memristors

Published:2018 Issue:43 Volume:10 Page:20089-20095
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Dang Bingjie¹²³⁴⁵,Wu Quantan⁶⁷⁵⁸⁷,Song Fang¹²³⁴⁵,Sun Jing¹²³⁴⁵,Yang Mei¹²³⁴⁵,Ma Xiaohua¹²³⁴⁵,Wang Hong¹²³⁴⁵^ORCID,Hao Yue⁹²³⁴⁵

Affiliation:

1. School of Advanced Materials and Nanotechnology

2. Key Laboratory of Wide Band Gap Semiconductor Technology

3. Xidian University

4. Xi'an

5. China

6. Institute of Microelectronics of Chinese Academy of Sciences

7. Beijing

8. University of the Chinese Academy of Sciences

9. School of Microelectronics

Abstract

Fully degradable biomimetic synaptic devices based on a W/MgO/ZnO/Mo memristor on a silk protein substrate show remarkable information storage and synaptic characteristics.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2018/NR/C8NR07442A

Reference58 articles.

1. Artificial synapse network on inorganic proton conductor for neuromorphic systems

2. Nonassociative learning implementation by a single memristor-based multi-terminal synaptic device

3. A lead-free two-dimensional perovskite for a high-performance flexible photoconductor and a light-stimulated synaptic device

4. Low‐Power, Electrochemically Tunable Graphene Synapses for Neuromorphic Computing

5. Fully memristive neural networks for pattern classification with unsupervised learning

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