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神经元集群的时空编码研究现状

Study of spatiotemporal coding of neural ensemble
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摘要 神经系统中信息的编码和处理在很大程度上是由大量神经元构成的集群协同活动完成的,即神经元集群编码。时空编码是神经元集群编码的主要方式之一。介绍了神经元集群时空编码的几种表达方法:放电同步性的互相关表达、多变量分析和人工神经网络表达,对以上方法的研究现状进行了综述。 More and more researches have shown that the coding and processing of neural information are accomplished by neural ensemble. Spatiotemporal coding is one of the important methods of ensemble coding. This paper presents an overview of typical population coding modes including cross correlation of discharge synchronization, multivariate analysis, manual neural network expression and the development of the researches.
作者 郑旭媛
出处 《国际生物医学工程杂志》 CAS 2007年第3期186-188,共3页 International Journal of Biomedical Engineering
基金 天津市自然科学基金资助项目(033608111) 教育部博士基金资助项目
关键词 神经元集群 时空编码 互相关 多变量分析 人工神经网络 neural ensemble spatiotemporal coding cross correlation, multivariate analysis manual neural network
分类号 Q [生物学]
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