[Eeglablist] How to deal with corrupted ICA decompositions

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Thu Jan 29 17:30:34 PST 2015

Arno, check if your original data was full rank. I've repeatedly seen this
before, and I found it happens when the data are not full ranked. By the
way, when you run matlab rank() don't use too long data, just give it short
data long... you may also want to test it by changing the length (1:1000,
1:10000, 1:100000...) In the middle of this wiki page
http://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline I put an
example of such case.


On Tue, Jan 20, 2015 at 3:03 PM, Arnaud Delorme <arno at ucsd.edu> wrote:

> I have recently added a small section to the EEGLAB wiki that deals with
> working with ICA decomposition where the two first components activity is
> extremely noisy (which seems to be a bug of Infomax). This does not happen
> often, but I thought I should share it with the list.
> http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA#How_to_deal_with_.22corrupted.22_ICA_decompositions
> Arno
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Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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