[Eeglablist] How to deal with ICA Weights Changes for the Same EEG Dataset
arno at ucsd.edu
Tue Sep 9 10:43:20 PDT 2014
The default EEGLAB function runica.m randomizes data samples. If you want to get always the same solution, you can try to use srand the same randomization is performed every time.
ADJUST should always pick the same components (especially because standard ICA artifactual components are quite stables).
If it does not, then contact ADJUST developers.
On Aug 8, 2014, at 5:19 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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