[Eeglablist] Component plotting
mmiyakoshi at ucsd.edu
Tue Jun 3 12:36:21 PDT 2014
These scalp topographies are each IC's fixed projection pattern, which is a
visualization of each row of the EEG.icawinv.
These maps are fixed throughout the recording, do does not change the
topographic patterns along with latency (so 'average' is still wrong).
Imagine you sit in a room with 10 radios tuned with 10 different stations
and listening to the mixture of them. That's the ICA point of view of EEG.
Sometimes one radio may become louder while other one become quieter. These
radios never move around in the room, which corresponds to the meaning of
On Thu, May 29, 2014 at 4:03 AM, Cooper, Rachel <rcoopea at essex.ac.uk> wrote:
> Hi all,
> I want to understand what is being plotted when I use the GUI to plot ICA
> components. I ran runica on epoched data and then selected plot > component
> maps > in 2-D. Are the plots showing weighted EEG data?
> Also, are the figures based on an average of all timepoints or just one
> point in time? If they are based on one point in time, can anyone tell me
> how this is chosen?
> Any help is much appreciated
> Rachel Cooper
> PhD researcher
> Department of Psychology,
> University of Essex,
> Wivenhoe Park,
> CO4 3SQ
> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
> To unsubscribe, send an empty email to
> eeglablist-unsubscribe at sccn.ucsd.edu
> For digest mode, send an email with the subject "set digest mime" to
> eeglablist-request at sccn.ucsd.edu
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the eeglablist