DocumentCode :
589434
Title :
Functional Connectivity Analysis from Multi Spike Trains on Prefrontal Cortex of Rat during Working Memory Task
Author :
Dexuan Qi ; Zhenguo Xiao ; Xin Tian
Author_Institution :
Tianjin Res. Centre of Basic Med. Sci., Tianjin Med. Univ., Tianjin, China
Volume :
1
fYear :
2012
fDate :
28-29 Oct. 2012
Firstpage :
356
Lastpage :
359
Abstract :
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.
Keywords :
bioelectric phenomena; brain; cognition; encoding; functional analysis; medical signal processing; neurophysiology; small-world networks; cross-covariance; functional connectivity analysis; multispike trains; neural ensemble rate coding; prefrontal cortex; resting state; small-world network property; working memory event occurrence; working memory task; Encoding; Firing; Neurons; Sociology; Spatial resolution; Statistics; Vectors; functional connectivity; neural ensemble; rate coding; small-world network; spike trains; working memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
Type :
conf
DOI :
10.1109/ISCID.2012.96
Filename :
6406995
Link To Document :
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