工作记忆任务中大鼠前额叶皮层多峰序列的功能连通性分析

Dexuan Qi, Zhenguo Xiao, X. Tian
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引用次数: 0

摘要

研究了大鼠工作记忆任务时前额叶皮层的功能连接网络。采用神经网络集成率编码来寻找工作记忆事件发生的时间间隔。通过交叉协方差法对功能连通性进行分析。得到了工作记忆事件发生期间和静息状态期间的功能连接网络。这两个网络都满足小世界网络的性质。通过计算两个网络内顶点的度中心性来寻找重要的神经元。结果与神经集成率编码结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Functional Connectivity Analysis from Multi Spike Trains on Prefrontal Cortex of Rat during Working Memory Task
Functional connectivity networks on prefrontal cortex of rat during working memory task are analyzed. Neural ensemble rate coding is applied to find the time interval of working memory event occurrence. The analysis of functional connectivity is carried out though the method of cross-covariance. Functional connectivity networks during the occurrence of working memory event and the period of resting state are obtained. the two networks satisfy the small-world network property. Degree centralities of vertexes within two networks are calculated to find important neuron. And the results are agreed with neural ensemble rate coding.
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