[Eeglablist] Scaling issue when copying ica weights/sphere.

[Makoto Miyakoshi]

Dear Justin,

Off the top of my head, check the following two possible causes

1. You made a mistake in copying the weight matrices
https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline#Tips_for_copying_ICA_results_to_other_datasets_.2806.2F26.2F2018_updated.29


2. It's a rare issue, but you got trapped with the RMS issue. I discussed
it with Seyed just a couple of weeks ago.
https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline#RMS_option_issue_.2807.2F02.2F2020_added.29


If your problem is different from any of these, write me again to the list.

Makoto


On Tue, Jul 14, 2020 at 2:41 AM Fine, Justin Michael <justfine at iu.edu>
wrote:

> Hello experts:
>
> I cleaned and ran ica on an epoched dataset. The components looked good
> all around.
>
> 1. When I went to copy the ica weight and sphere matrices to the same
> dataset that was continuous, the components activation is now super high.
> On the order of 50x greater, and it looks poorly.
>
> 2. However , when I copy the weight matrices from an epoched to another
> epoched dataset, it looks normal.
>
> Any thoughts on where I want wrong?  The scaling is wrong somewhere, as
> clearly people copy ica weights from epoched to continuous data normally.
>
> Justin M. Fine, PhD
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