[Eeglablist] running ICA

[Makoto Miyakoshi]

rank() may not always be accurate, I heard, especially after low-pass
filtering the data.

Makoto


2013/5/10 Arnaud Delorme <arno at ucsd.edu>

> 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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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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