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Updated: Feb 8, 2026

A Method for Growing Bio-memristors from Slime Mold
Published on: November 2, 2017
[Review of the research of spiking neuron network based on memristor]
Guizhi Xu1, Linjing Yao2, Zikang Li2
1Department of Electrical Engineering, School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, P.R.China.gzxu@hebut.edu.cn.
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.
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