[Eeglablist] extremely slow ICA

[Makoto Miyakoshi]

Dear Brittany,

The speed of Infomax implemented in runica() does get affected by data
quality.
I recommend you check data data set using trimOutlier() plugin.
https://sccn.ucsd.edu/wiki/TrimOutlier
Go back to the continuous data and run trimOutlier. It will show you
envelope of all channels across time. Well-tempered data should show
'stationary' (i.e., the envelope shapes more or less rectangular with
constant width) shape. If you have super huge outlier or continuous zeros,
you will easily find it. Such outliers can make the infomax really slow.

Makoto

On Fri, Jul 6, 2018 at 10:31 AM Brittany Alperin <balperin07 at gmail.com>
wrote:

> Hello
>
> I'm currently working with a fairly large dataset and the ICA takes
> several hours to run, which I consider normal. I have one file, which is
> seemingly no different from the others, but the ICA has been running for
> ~40 hours and it's not even half way done.
>
> I've had this happen with different datasets before, but it's fairly rare
> so I never thought much of it until now.
>
> Has anyone had this happen? Any thoughts? I'm using EEGLAB 12.0.2.6b,
> Matlab 2012b, and a Windows 7 Enterprise OS.
>
> Thanks,
> Brittany
>
> *Brittany Alperin*
>
> PhD Candidate
>
> ATTEND LAB
>
> Department of Behavioral Neuroscience
>
> Oregon Health & Science University
>
> Portland, OR
>
> 503-418-8402
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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