Mutual-information-based approach for neural connectivity during self-paced finger lifting task

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > journal & Dissertation > Item 987654321/31878

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31878

Title:	Mutual-information-based approach for neural connectivity during self-paced finger lifting task
Authors:	Chen,Chun-Chuan;Hsieh,Jen-Chuen;Wu,Yu-Zu;Lee,Po-Lei;Chen,Shyan-Shiou;Niddam,David M.;Yeh,Tzu-Chen;Wu,Yu-Te
Contributors:	電機工程研究所
Keywords:	HUMAN SENSORIMOTOR CORTEX;SUPPLEMENTARY MOTOR AREA;EVENT-RELATED DESYNCHRONIZATION;PRECEDING VOLUNTARY MOVEMENT;BETA-SYNCHRONIZATION;DEPENDENT MODULATION;MATHEMATICAL-THEORY;ALZHEIMERS-DISEASE;MAGNETIC-FIELDS;BRAIN ACTIVITY
Date:	2008
Issue Date:	2010-07-06 18:13:32 (UTC+8)
Publisher:	中央大學
Abstract:	Frequency-dependent modulation between neuronal assemblies may provide insightful mechanisms of functional organization in the context of neural connectivity. We present a conjoined time-frequency cross mutual information (TFCMI) method to explore the sub
Relation:	HUMAN BRAIN MAPPING
Appears in Collections:	[Graduate Institute of Electrical Engineering] journal & Dissertation

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