Memristive neural networks based on STDP rules and its applications in image storage

作者：Wang L D^*; Duan M T; Duan S K

来源：Journal of the University of Electronic Science and Technology of China, 2013, 42(5): 642-647.

DOI：10.3969/j.issn.1001-0548.2013.05.001

• Image storage
• Memristive neural network
• Memristor
• STDP

Memristor is a nonlinear circuit element which has property of memory and the similar synapse characteristic. In this paper, a memristive neural network based on STDP learning rule is proposed and used in the binary image overlay and the storage and output of gray and color images. Firstly, the memristor is used as the synapse, and the specific shape action potentials realizing STDP learning rules are demonstrated. Secondly, 4×4 memristive crossbar array neural networks are realized. And then the binary image overlay is obtained by the neural network of 16×16 memristive crossbar array neural networks. Finally, the storage and output of gray and color images are achieved by the N×N memristive neural network. The feasibility of the proposed method is proved by MATLAB simulation experiments. This neural network has more bionic feasibility, which could be applied to solve the complex problems in pattern recognition and artificial intelligence.

• 出版日期2013
• 单位西南大学