[Eeglablist] ica weights

[Mikołaj Magnuski]

Hi Nithin,

if you are using (pop_)newtimef to obtain time-freq decomposition you can
try the following:

After performing GUI-based operation resulting in time-freq plot type:
>> eegh
(without the '>>' of course :) )

Then locate the call to pop_newtimef or similar.
Then check output variables provided by this function (in this case I
assume pop_newtimef):
>> help pop_newtimef

There (in the help description) you can find what is returned by the
function (and the required input). In the case of pop_newtimef it will tell
you to see the help file of newtimef() and there you can find that the
output is:
[ersp,itc,powbase,times,freqs,erspboot,itcboot]

The first two ('ersp' and 'itc') are ersp and itc matrices. Their time/freq
dimensions are given by 'times' and 'freqs' vectors.
Now you can copy your pop_newtimef call from eegh and add in front of it:
[ersp,itc,powbase,times,freqs] =

After evaluating this command you will find all the requested variables in
your workspace.
17 mar 2014 18:43 "Nithin Krishna" <krisnithin at gmail.com> napisał(a):

> 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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