[Eeglablist] extremely slow ICA

[Brittany Alperin]

Thanks Makato

If I do find outliers, is there anything I can do about it? Any idea what
types of things would cause this in the data?

Thanks,
Brittany


On Fri, Jul 6, 2018 at 11:57 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
wrote:

> 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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