[Eeglablist] ica weights

[Makoto Miyakoshi]

Dear Nithin,

Currently no GUI support for that unfortunately, so please follow Mikolaj's
advice (thanks Mikolaj as usual).

For cross-frequency analysis, however, I recommend you use SIFT. It
computes cross-frequency measures from a simple and crude way (with which
you will have statistical problems when you have multiple ICs so be
careful!) to the sophisticated way from which normalized measures are
computed so that you can compare them across conditions/subjects.

Makoto


2014-03-15 6:46 GMT-07:00 Nithin Krishna <krisnithin at gmail.com>:

> Dear EEG experts,
> On the same lines of question, I wish to know if I could obtain time-
> frequency data, ITC and cross coherence. How to save data from the plot
> that I get, specifically ESRP, ITC and cross coherence after running time
> frequency analysis.
> Any help in this regard will be deeply appreciated, thanks
>
> Nithin Krishna
>
> On Mar 13, 2014, at 7:05 PM, Marta Zakrzewska <marta.zakr at gmail.com>
> wrote:
>
> If you want to plot the timecourse of your components' signal you can use
> eegplot
> >> eegplot(EEG.icaact, 'srate', EEG.srate)
>
> Note that you need to compute the icaact matrix first though - you can do
> it using eeg_getdataact function:
> >> EEG.icaact = eeg_getdatact(EEG,'component', 1:size(EEG.icaweights, 1));
>
> Hope it helps!
>
> Marta Zakrzewska
>
>
> 2014-03-13 14:13 GMT+01:00 joaquin .cuomo <jmcuomo at gmail.com>:
>
>> Hi,
>>
>> after doing ICA, how can I plot the decompose signals?
>>
>> EEG = .....
>> icaact: []
>> icawinv: [7x7 double]
>> icasphere: [7x7 double]
>> icaweights: [7x7 double]
>> icachansind: [1x7 double]
>> .....
>> (7 is the number of electrodes of my EEG system)
>>
>> Thanks!
>>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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