[Eeglablist] eeglablist Digest, Vol 90, Issue 9

[Cartik Sharma]

Dear Carlos,

The eeglab documentation indicates that there are a few techniques that would allow
to cluster specific components of data segments, filter peaks of activity and discard data 
wrt latencies.

I'd suggest trying eeg_popicathresh to allow classification and thresholding of specific
components. http://sccn.ucsd.edu/eeglab/allfunctions/pop_icathresh.html

Some other functions to look at are pop_clust (clustering of similar datasets) and eeg_lat2point (to deal with latencies in data segments).

The right sequence would be clustering followed by ica thresholding and convering
latencies to segments. 

Hope this helps...

Best regards,

Cartik Sharma



"There is plenty of room at the bottom." - Richard Feynman

--- On Mon, 4/9/12, eeglablist-request at sccn.ucsd.edu <eeglablist-request at sccn.ucsd.edu> wrote:

From: eeglablist-request at sccn.ucsd.edu <eeglablist-request at sccn.ucsd.edu>
Subject: eeglablist Digest, Vol 90, Issue 9
To: eeglablist at sccn.ucsd.edu
Received: Monday, April 9, 2012, 3:00 PM

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   1. Crop EEG segments in command line (Carlos Mugruza)
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