Title
A neural network circuit with associative learning and forgetting process based on memristor neuromorphic device
Abstract
Memristor has attracted extensive attention in recent years because of its capability to act as artificial synapse in neuromorphic network. In this paper, by combining a designed memristive synapse and a resistive synapse, a novel neural network circuit with three neurons and one operational module has been constructed. With the memristor device whose resistance can be purposely changed according to the time interval between pre- and post-spikes, the weight of the memristive synapse that connected between two neurons can be modified as required. What's more, the transmission of signal from pre-neuron to post-neuron and the adjustment of memristive resistance were carried out alternately through the coordination of different modules. Finally, the neural network simulated the Pavlov's experiment successfully, indicating that it can realize the process of associative learning and forgetting.
Year
DOI
Venue
2017
10.1109/ASICON.2017.8252449
2017 IEEE 12th International Conference on ASIC (ASICON)
Keywords
Field
DocType
neural network,memristive synapse,associative learning,forgetting
Forgetting,Memristor,Logic gate,Computer science,Resistive touchscreen,Neuromorphic engineering,Electronic engineering,Associative learning,Artificial neural network
Conference
ISSN
ISBN
Citations 
2162-7541
978-1-5090-6626-1
0
PageRank 
References 
Authors
0.34
0
10
Name
Order
Citations
PageRank
Xiaoqiang Lv100.34
Yimao Cai297.26
Yuchao Yang344.80
Zhizhen Yu402.03
Yichen Fang502.03
Zongwei Wang612.46
Lindong Wu701.01
Jianfeng Liu85913.31
Wanrong Zhang922.91
Ru Huang1018848.74