[Eeglablist] Transferring ICA weights when different number of channels

[Makoto Miyakoshi]

Dear Carolin,

> How do I account for that difference in channels when transferring the
ICA weights matrix? Is there any way of keeping the excluded channels
separate and add them back in after removal of ICs?

It's better to let EEGLAB take care of these consistency.
I recommend that reject the same channels between sender and receiver to
make sure that they have the identical channel structure, then copy the
weight matrix.

Makoto


On Tue, Feb 7, 2017 at 12:53 PM, Carolin Sievers (PSY) <
Carolin.Sievers at uea.ac.uk> wrote:

> Dear EEGLAB users,
>
>
>
> I have a question regarding transferring ICA weights from one dataset to
> another (e.g., high-pass filter at 1Hz for ICA, then apply weights matrix
> to same data but filtered at 0.05Hz):
>
>
>
> For better ICA results, I sometimes exclude some noisy channels. How do I
> account for that difference in channels when transferring the ICA weights
> matrix? Is there any way of keeping the excluded channels separate and add
> them back in after removal of ICs?
>
>
>
> Best wishes,
>
> Carolin
>
>
> _________________
>
> *Carolin Sievers* (PSY)
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>
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>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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