[Eeglablist] newtimef with independent components

[Cigir Kalfaoglu]

Hi James,
Thank you for your quick response.
The structure EEG.icaact is empty in my datasets. Do you know why this 
might be?
C

On 08/09/2011 17:21, James Desjardins wrote:
> Hi Cigir,
>
> The following call to newtimef should compare the independent
> component #1 of dataset #1 to dataset #2.
>
> figure;
> newtimef({ALLEEG(1).icaact(1,:,:), ALLEEG(2).icaact(1,:,:)}, ...
> 		EEG.pnts, ...
> 		[EEG.xmin EEG.xmax]*1000, ...
> 		EEG.srate, ...
> 		[3 0.5] , ...
> 		'topovec', EEG.icawinv(:,1), ...
> 		'elocs', EEG.chanlocs, ...
> 		'chaninfo', EEG.chaninfo, ...
> 		'baseline',[0], ...
> 		'plotphase', 'off', ...
> 		'padratio', 1);
>
>
> James Desjardins
> Technician, MA Student
> Department of Psychology, Behavioural Neuroscience
> Cognitive and Affective Neuroscience Lab
> Brock University
> 500 Glenridge Ave.
> St. Catharines, ON, Canada
> L2S 3A1
> 905-688-5550 x4676
>
>
> Quoting Cigir Kalfaoglu<c.kalfaoglu at sheffield.ac.uk>:
>
>> Hello,
>>
>> A simple question with possibly a one line answer:
>>
>> I am trying to calculate ERSP/ITC differences between conditions using
>> newtimef. However, I would like to use data from independent
>> components, rather than channels when doing so. I know pop_newtimef has
>> the option to do this via the key 'typeproc', but I couldn't get
>> pop_newtimef to work with two datasets.
>>
>> Is there a way to analyse independent components using newtimef, or
>> alternatively, to use pop_newtimef with 2 datasets?
>>
>> Thank you,
>> C
>
>
>
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