[Eeglablist] How to deal with ICA Weights Changes for the Same EEG Dataset
mmiyakoshi at ucsd.edu
Mon Aug 11 13:03:53 PDT 2014
> I wonder how can we deal with the ICA weights changes?
This has not been regarded as a problem. Why don't you disable
randomization to see what happens? At least it's not a requirement for ICA
if I understand it correctly. You get reproducibility in ICA results, at
that cost of ?? I haven't tried it myself so I don't know.
On Fri, Aug 8, 2014 at 1:19 AM, shouyi wang <shouyisxty at gmail.com> wrote:
> Hi All,
> I just started to use EEGLAB to performa ICA study. However, I notice
> that the ICA weights changed (many weights changed slightly and some
> weights changed significantly) if I run 'Run ICA' several times for
> the same EEG dataset. As a results, when I do artifacts removal with
> ADJUST plugin. The rejected components can also change due to the ICA
> weights changes.
> I checked the 'runica' codes, there are several places using random
> generating numbers. I think that may be the major reason for the ICA
> weights changes run each time. I wonder how can we deal with the ICA
> weights changes? or I did something wrong here? Hope to get some
> suggestions here? Thanks a lot!
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Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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