Sequence memory based on an oscillatory neural network

作     者：XIA Min WENG LiGuo WANG ZhiJie FANG JianAn 

作者机构：College of Information and Control ScienceNanjing University of Information Science and Technology College of Information Science and TechnologyDonghua University 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2014年第57卷第7期

页      面：235-246页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by National Natural Science Foundation of China (Grant No.61105115) National Department Public Benefit Research Foundation (Grant No.GYHY200806017) 

主　　题：neural network hetero-association sequence memory oscillation Hebbian rule 

摘      要：In the brain,the discrete elements in a temporal order is encoded as a sequence *** the neural level,the reproducible sequence order of neural activity is very crucial for many *** this paper,a mechanism for oscillation in the network has been proposed to realize the sequence *** mechanism for oscillation in the network that cooperates with hetero-association can help the network oscillate between the stored patterns,leading to the sequence *** to the oscillatory mechanism,the firing history will not be sampled,the stability of the sequence is increased,and the evolvement of neurons’states only depends on the current *** simulation results show that neural network can effectively achieve sequence memory with our proposed model.