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JCNS
2010
119views more  JCNS 2010»
13 years 3 months ago
Disentanglement of local field potential sources by independent component analysis
The spontaneous activity of working neurons yields synaptic currents that mix up in the volume conductor. This activity is picked up by intracerebral recording electrodes as local ...
Valeri A. Makarov, Ioulia Makarova, Oscar Herreras
NIPS
1997
13 years 6 months ago
Extended ICA Removes Artifacts from Electroencephalographic Recordings
Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...
Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott...
GPB
2008
41views more  GPB 2008»
13 years 5 months ago
Gene Expression Data Classification Using Consensus Independent Component Analysis
Chun-Hou Zheng, De-Shuang Huang, Xiangzhen Kong, X...
BMCBI
2006
129views more  BMCBI 2006»
13 years 5 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
ISBI
2011
IEEE
12 years 9 months ago
Automatic mask generation using independent component analysis in dynamic contrast enhanced-MRI
Studying image intensity change in each pixel in dynamic contrast enhanced (DCE)-MRI data enables differentiation of different tissue types based on their difference in contrast u...
Hatef Mehrabian, Ian Pang, Chaitanya Chandrana, Ra...