[Eeglablist] ICA running slowly and returning error
anaelle.alouit at gmail.com
Wed Feb 24 07:45:45 PST 2021
Thank you Scott, it worked !
I have tried so many things but finally you gave me the solution, thanks a lot !
> Le 23 févr. 2021 à 17:37, Scott Makeig <smakeig at gmail.com> a écrit :
> Anaeile - This means that the problem dataset is rank-deficient. One channel might be repeated, or be a sum of two or more other channels, etc. Use the 'pca' flag to reduce the rank by one when running runica. Notice on the Matlab command line if the step size is decreasing as normal. If not, try reducing the dimension by 2, etc.
> Scott Makeig
> On Tue, Feb 23, 2021 at 11:34 AM Anaelle Alouit <anaelle.alouit at gmail.com <mailto:anaelle.alouit at gmail.com>> wrote:
> Dear all,
> I have ran ICA on a few datasets of 64 channels without any problem, but for one dataset, the ICA decomposition takes hours (an entire weekend instead of 1-2 hours), and in the end, I can’t use the ICLabel tool because it is returning an error saying “the ica decomposition must be real”.
> I tried cleaning the data with the CleanData/ASR plugin, but it didn’t help. I downsample to 256Hz and high-pass filter at 1Hz.
> Since I have the same type of dataset and exactly the same kind of pre-processing, do you know what may cause this ?
> Best regards,
> Anaëlle ALOUIT
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> Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, http://sccn.ucsd.edu/~scott <http://sccn.ucsd.edu/%7Escott>
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