Guoqi Li, Jing Pei, C. Wen, Zhengguo Li, Guangshe Zhao, Luping Shi
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A model for encoding and the retrieve of the sequential working memory is proposed by using bidirectional inhibition-connected neural networks with winnerless competition. It is found that the retrieve accuracy is dependent on the encoding time the the properties of the neural inhibition weights. The simulation results shows the effectiveness of our proposed model.
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