binica in fieldtrip
s.debener at UKE.UNI-HAMBURG.DE
Fri Feb 9 22:46:41 CET 2007
Try running extended infomax ICA with the PCA option switched on and a
reduction to about 50 components. This should speed up the decomposition
substantially, and return nice eye blink components. If you do not get
dipolar-like component maps, your data may suffer from substantial head
movements. Temporal ICA expects that the sensors-to-source configuration
remains unchanged during recording.
I have not done systematic comparisons myself, but know from others that
fastICA is not necessarily that. It can be even slower that other ICA
Hope this helps,
Sameer Walawalkar wrote:
> I am running componentanalysis.m within fieldtrip to do ICA in order
> to remove blinks etc. I tried using
> cfg.method = 'fastICA'
> cfg.trials = 1:100 (data has 306 channels)
> but got failure to converge on 19th ica and analysis was aborted.
> Does anyone have any ideas about dealing with this?
> I also tried
> cfg.method = 'runica' cfg.trials = 1:100
> but it takes a very looooong time.
> Any ways around it? I know that one can implement binica in EEGLAB. It
> is supposed to be 12 xs faster and can use smaller memory.
> Can I implement cfg.method = 'binica'? in fieldtrip?
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