Functional Connectivity Analysis from Multi Spike Trains on Prefrontal Cortex of Rat during Working Memory Task

被引：0

作者：

Qi, Dexuan ^{[1
]}

Xiao, Zhenguo

Tian, Xin ^{[1
]}

机构：

[1] Tianjin Med Univ, Tianjin Res Ctr Basic Med Sci, Tianjin, Peoples R China

来源：

2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 1 | 2012年

基金：

中国国家自然科学基金;

关键词：

functional connectivity; neural ensemble; rate coding; spike trains; working memory; small-world network; SMALL-WORLD; DYNAMICS; BRAIN; NETWORK;

D O I：

10.1109/ISCID.2012.96

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：356 / 359

页数：4

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