[Eeglablist] ICA strategy on multi epoch data in EEGLab

[peng]

Dear EEGLab developers/advanced users

   I have a question on the ICA strategy of multi epoch data in EEGLab:
   When we import NeuroScan eeg file into EEGLab, the data would be 3
dimension: time points * channels * epochs. I think ICA would deal
with 2-dimention data, so there may be several strategies:
1
a. EEGLab link the data of different epochs together
b. perform ICA on linked data
c. simply divide the components into epochs

2
a. EEGLab perform ICA for each epoch separately
b. but result of previous epoch would be initial value of the next one

3
a. EEGLab may perform ICA by strategy 1, 2 or others, and get a result
like a "rule" (distribution or sth)
b. The "rule" would then applied to each epoch and get their own
strength data of each componet.

Thanks for your help!

Peng