[Eeglablist] How to make an ICA run in less than a week?

[Stephen Politzer-Ahles]

Hi James,

I've never run ICA on continuous data so I don't have a feeling for how
long yours should be taking; but one thing you can do that I imagine will
sped things up significantly is to epoch the dataset, if that is an option
for you; my understanding is that, while running ICA on continuous data is
the best, you can still get acceptable decompositions from epoched data if
your epochs are big enough and not too noisy.

There are also some other algorithms available, like fastica and binica,
that are supposed to be faster; I've never tried them so I'm not sure what
the other consequences of using those rather than runica might be.

Best,
Steve

On Fri, Jul 6, 2012 at 8:24 AM, James Schaeffer <schaefj3 at gmail.com> wrote:

> Dear eeglablist,
>
> I am running ICAs on 10 minutes of Biosemi EEG data, collected from 128
> channels, and sampled at 2048 Hz. However, the ICAs have been running for a
> few days without much progress. Two computers have 8G RAM and an Intel(R)
> Xeon(TM) CPU 2.80GHz. One has been running an ICA for 6 days and is on step
> 33; the other, for 4 days, and is on step 28. Another computer has 12G RAM
> and an Intel(R) Xeon(R) CPU 5110 @ 1.60GHz; it has been running for 3 days
> and is on step 60. All are running openSUSE 12.1 (x86_64), with eeglab
> version 10.2.2.4b. The 'free' command indicates that they are not using any
> swap space.  Should it be taking this long?  Is it possible that we have
> more than the one copy of the data in ram or that Matlab or Eeglab has
> placed something else in ram, or is busy with other processes? Is there
> anything I can do to speed up this process? Any help would be greatly
> appreciated.
>
> Thanks in advance,
> James
>
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-- 
Stephen Politzer-Ahles
University of Kansas
Linguistics Department
http://www.linguistics.ku.edu/
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