[Eeglablist] binica

[Sven Hoffmann]

Hi all,

I have a question about binica and runica.

I have installed matlab/eeglab under linux (Debian) and run binica 
(included in eeglab 5.01b: ICA Version 1.4 Feb),  that works fine (binica 
is quite fast :-)), but the defined weight change of  1E-7 is reached much 
later than with runica and sometimes it isn't reached even after 1000 
steps  (63 chans, QuickAmp).

In opposite with runica it does. Further the initial weight change is very 
high. I used the same options  like the runica defaults, except the maximum 
number of steps (1000). I have used the same data for both and have run 
them several times. The problem (if it is one) seems to be solved by 
projecting the data into a subspace by pca.

So i wonder if there is a difference between runica and binica, or if i 
made something wrong.
I would be deeply grateful for some suggestions.

best regards

Sven.



--
Dipl.-Psych. Sven Hoffmann
Institute for Occupational Physiology at the University of Dortmund (IfADo)
Leibniz Research Centre for Working Environment and Human Factors
Ardeystr. 67
D-44139 Dortmund
Phone: +49-231-1084-338
Email: shoffmann at ifado.de


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