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Self-organization of hippocampal representations in large environments
Liu S(刘爽); Si BL(斯白露); Lin Y(林扬)
作者部门海洋信息技术装备中心
会议名称2015 International Joint Conference on Neural Networks (IJCNN)
会议日期July 12-17, 2015
会议地点Killarney, Ireland
会议录名称2015 International Joint Conference on Neural Networks (IJCNN)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1-6
收录类别EI ; CPCI(ISTP)
EI收录号20155201718774
WOS记录号WOS:000370730604008
产权排序1
ISBN号978-1-4799-1959-8
摘要The entorhino-hippocampal neural circuits of the mammalian brains are able to internally generate efficient spatial representations of large-scale environments. Hippocampal principal cells in mammalian brains form sparse codes of the positions in large environments. The underlying computational mechanisms of the formation of spatial memory in large-scale environments are still not well understood. We present a competitive learning network that integrates both spatial inputs from grid cells as well as contextual inputs from non-spatial cells. Through self-organisation, place units in the network form place fields at “randomly” interleaved locations, in the sense that both the recruitment process and the inter-field interval are memoryless, a property superior for spatial memory formation in large environments.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17339
专题海洋信息技术装备中心
作者单位1.University of Chinese Academy of Sciences, Beijing, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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GB/T 7714
Liu S,Si BL,Lin Y. Self-organization of hippocampal representations in large environments[C]. Piscataway, NJ, USA:IEEE,2015:1-6.
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