Brain-like computing and neural morphologic devices with circuits

Deng Yabina
Wang Zhiweia
Zhao Chenhuia
Li Lina
He Shana
Li Qiuhongb
Shuai Jianweic
Guo Donghuia
a. College of Electronic Science & Engineering, b. Pen-Tung Sah Institute of Micro-Nano Science & Technology, c. College of Physical Science & Technology, Xiamen University, Xiamen Fujian 361000, China

Abstract

In order to systematically understand the neural network circuits, this article began with a brief introduction of the principles of the brain-like neural network, as well as two types of neuromorphic devices and their functions, including different types of floating gates and memristors made by various materials to simulate individual neuron and synaptic plasticity. And then, it was based on the neuromorphic devices to introduce the circuit of the brain-like neural network implemented by floating gate and memristor respectively. Finally, it summarized the current problems of the neuromorphic devices as well as the brain-like neural network chip, and further made a prospect of the researching direction for the brain-like computing.

Foundation Support

国家自然科学基金重点项目(61836010)
厦门大学创新团队培育计划项目(20720190116)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.04.0349
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Survey
Pages: 2241-2250
Serial Number: 1001-3695(2021)08-001-2241-10

Publish History

[2021-08-05] Printed Article

Cite This Article

邓亚彬, 王志伟, 赵晨晖, 等. 类脑神经网络与神经形态器件及其电路综述 [J]. 计算机应用研究, 2021, 38 (8): 2241-2250. (Deng Yabin, Wang Zhiwei, Zhao Chenhui, et al. Brain-like computing and neural morphologic devices with circuits [J]. Application Research of Computers, 2021, 38 (8): 2241-2250. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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