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URL: http://sccn.ucsd.edu/~arno/indexica.html
Proper Citation: ICA (Independent Component Analysis) for dummies (RRID:SCR_010673)
Description: ICA is a quite powerful technique and is able (in principle) to separate independent sources linearly mixed in several sensors. For instance, when recording electroencephalograms (EEG) on the scalp, ICA can separate out artifacts embeded in the data (since they are usually independent of each other). This page intends to explain ICA to researchers that want to understand it but only have a weak background both in matrix computation and information theory. Arnaud Delorme''s explanations are as intuitive as possible and based on practical examples from Matlab. He would value your feedback on this page.
Synonyms: ICA for dummies
Resource Type: narrative resource, data or information resource
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