[Eeglablist] Complex infomax implemented in runica.m?

[Makoto Miyakoshi]

Scott, would you like to comment?

Makoto


On Mon, Jul 28, 2014 at 3:13 AM, Eelke Spaak <eelke.spaak at donders.ru.nl>
wrote:

> Dear EEGlab list,
>
> I would like to perform Infomax ICA on a complex time-frequency
> representation of my data, as described in Anemüller, Sejnowski, &
> Makeig (2003) Neural Networks. Actually I am primarily using
> FieldTrip, but since FieldTrip just uses EEGlab's runica.m I thought
> this list was the best place to ask the following:
>
> If I input complex data (i.e. the Fourier coefficients for sliding
> time windows for a single frequency band) into runica.m, will the
> algorithm computed be the correct complex Infomax algorithm? I tried
> this and the output looks very reasonable (i.e. well-interpretable
> sensor maps, with primarily real and much weaker imaginary weights,
> consistent with what I think is expected for MEG data). But it would
> be great if this is confirmed by someone who actually knows about
> this.
>
> If complex ICA is not implemented in runica.m, maybe someone has
> thoughts on whether it would be easy to extend it such that it
> implements complex Infomax?
>
> Many thanks in advance!
>
> Best,
> Eelke
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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