[Eeglablist] running ICA

[Arnaud Delorme]

Dear Karlo,

> - how do you check rank of your EEG data? (rank(EEG.data)  gives error for 3d matrix )


rank(EEG.data(:,:)) will do


> - what could be wrong here or what i need to check before running ICA?


Nothing, it is normal sometimes for the learning rate to be dicreased.


> - May i ask you  that how do you choose your ICA options (e.g., 'pca'  , 'extended1' or ...)?  


Have you read the tutorial section on ICA

http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA

Best,

Arno


> 
> Many thanks,
> Karlo 
> 
>  
>  
> Input data size [62,766380] = 62 channels, 766380 frames/nFinding 62 ICA components using logistic ICA.
> Decomposing 199 frames per ICA weight ((3844)^2 = 766380 weights, Initial learning rate will be 0.001, block size 68.
> Learning rate will be multiplied by 0.9 whenever angledelta >= 60 deg.
> More than 32 channels: default stopping weight change 1E-7
> Training will end when wchange < 1e-007 or after 512 steps.
> Online bias adjustment will be used.
> Removing mean of each channel ...
> Final training data range: -456.566 to 562.934
> Computing the sphering matrix...
> Starting weights are the identity matrix ...
> Sphering the data ...
> Beginning ICA training ...
> Lowering learning rate to 0.0009 and starting again.
> step 1 - lrate 0.000900, wchange 141.51904569, angledelta  0.0 deg
> Lowering learning rate to 0.00081 and starting again.
> step 1 - lrate 0.000810, wchange 159.49273116, angledelta  0.0 deg
> Lowering learning rate to 0.000729 and starting again.
> step 1 - lrate 0.000729, wchange 143.22748820, angledelta  0.0 deg
> Lowering learning rate to 0.0006561 and starting again.
> step 1 - lrate 0.000656, wchange 136.88732118, angledelta  0.0 deg
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