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题名: Dynamics of a neural network model with finite connectivity and cycle stored patterns
作者: Ji, DY ;  Hu, BL ;  Chen, TL
刊名: PHYSICA A
出版日期: 1996
卷号: 229, 期号:2, 页码:147-165
关键词: PHASE-TRANSITIONS ;  MEMORY ;  AUTOMATA ;  SEARCH
学科分类: Physics
通讯作者: Ji, DY , NANKAI UNIV,DEPT PHYS,TIANJIN 300071,PEOPLES R CHINA.
部门归属: CCAST,WORLD LAB,BEIJING 100080,PEOPLES R CHINA; ACAD SINICA,INST THEORET PHYS,BEIJING 100080,PEOPLES R CHINA
英文摘要: The spatiotemporal evolution and memory retrieval properties of a Hopfield-like neural network with cycle-stored patterns and finite connectivity are studied. The analytical studies on a mean-field version show that, given the number of stored patterns p, there is a critical connectivity k(c) such that the retrieval states are stable Bred points if and only if k > k(c). The dependence of k(c) on the number of stored patterns is also present. The numerical simulations are applied to the short-ranged model with local interaction. It is revealed that, given p, the memory retrieval function is kept if the connectivity is high enough while the dynamics of the system is in the frozen phase. However when the connectivity k is less than a critial value k(c) the system is in the chaotic phase and loses its memory retrieval ability. The critical points of both the dynamical phase transition and memory-loss phase transition are obtained by simulation data.
收录类别: SCI
原文出处: 查看原文
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/12607
Appears in Collections:理论物理所1978-2010年知识产出_期刊论文

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Recommended Citation:
Ji, DY,Hu, BL,Chen, TL. Dynamics of a neural network model with finite connectivity and cycle stored patterns[J]. PHYSICA A,1996,229(2):147-165.
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