AUTHOR=Shi Jiajuan , Wang Zhongqiang , Tao Ye , Xu Haiyang , Zhao Xiaoning , Lin Ya , Liu Yichun 

TITLE=Self-Powered Memristive Systems for Storage and Neuromorphic Computing

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 15 - 2021

YEAR=2021

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2021.662457

DOI=10.3389/fnins.2021.662457

ISSN=1662-453X

ABSTRACT=Neuromorphic computing chip that can imitate the human brain’s ability of processing multiple types of data simultaneously, is promising to fundamentally innovate the criticized von-neumann computer architecture. Memristive devices, thanks to their inherent low voltage operation, multi-bit storage and cost-effective manufacturability, have been confirmed to be one of the most excellent hardware units for building neuromorphic intelligence systems. However, as a passive device, memristor cell definitely needs external energy to operate, resulting in high power consumption and complicated circuit structure. Recently, an emerging self-powered memristive system, which mainly consists of a memristor and an electric nanogenerator, has the potential to perfectly solve the above problems. It has attracted great interest by capturing advantage of some power-free operations. In this review, we give a systematic description of self-powered memristive systems from storage to neuromorphic computing. Meanwhile, a perspective is given about the artificial intelligence application with self-powered memristive system.