确定性小世界特性记忆网络的建模与算法  

A Deterministic Small-world Model and Algorithm of Memory Network

作　　者：张兰华[1,2] 薛绍伟[1,3] 唐一源[1] 

机构地区：[1]大连理工大学神经信息学研究所,辽宁大连116023 [2]泰山医学院信息工程学院,山东泰安271016 [3]杭州师范大学教育科学学院,浙江杭州310036

出　　处：《微电子学与计算机》2012年第10期1-5,共5页Microelectronics & Computer

基　　金：国家自然科学基金项目(60971096);山东省高等学校科技计划项目(J10LC59);泰山医学院科研计划课题(2010ZR100)

摘　　要：为了形象直观的了解脑功能记忆小世界网络的形成及演化机制,采用复杂网络确定性建模的方法对记忆过程进行模拟,通过记忆节点及连边的抽取,建立符合记忆解剖特征和逻辑意义的连边机制.以集合为数据结构的建模算法仿真了小世界特性的记忆网络,同时数据元素的检索算法符合记忆特征.通过理论分析和数据仿真表明对脑功能记忆网络进行确定性建模是可行的.In order to gain a visual understanding on the shape and evolution of brain functional memory network, we present a simulation on memory process in deterministic way based on the complex network. The small-world memory network generated by construct algorithm where the data structure was set, the node and edge of memory was abstracted and the connection mechanism was selected according with the anatomical substrate and functional characters of memory. Moreover, the retrieval algorithm satisfied the memory characters. The theoretical analysis and the simulation results confirmed that the deterministic model is feasible to brain functional memory network.

关 键 词：复杂脑功能记忆网络 小世界网络 确定性 算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]