Review of the research of spiking neuron network based on memristor.
10.7507/1001-5515.201703091
- Author:
Guizhi XU
1
;
Linjing YAO
2
;
Zikang LI
2
Author Information
1. Department of Electrical Engineering, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, P.R.China.gzxu@hebut.edu.cn.
2. Department of Electrical Engineering, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, P.R.China.
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
memristor;
spike timing dependent plasticity mechanism;
spiking neuron networks
- From:
Journal of Biomedical Engineering
2018;35(3):475-480
- CountryChina
- Language:Chinese
-
Abstract:
The rapid development of artificial intelligence put forward higher requirements for the computational speed, resource consumption and the biological interpretation of computational neuroscience. Spiking neuron networks can carry a large amount of information, and realize the imitation of brain information processing. However, its hardware is an important way to realize its powerful computing ability, and it is also a challenging technical problem. The memristor currently is the electronic devices that functions closest to the neuron synapse, and able to respond to spike voltage in a highly similar spike timing dependent plasticity (STDP) mechanism with a biological brain, and has become a research hotspot to construct spiking neuron networks hardware circuit in recent years. Through consulting the relevant literature at home and abroad, this paper has made a thorough understanding and introduction to the research work of the spiking neuron networks based on the memristor in recent years.
