[Eeglablist] Recovering single component's channel data manually
rgougelet at gmail.com
Thu Aug 8 15:49:58 PDT 2019
I realized that I was confusing a component activation with its projection,
and it should be
comp_chan_data = EEG.icawinv(:,comp_i)*EEG.icaweights(comp_i,:)*EEG.data
On Wed, Aug 7, 2019 at 1:10 PM Robert Gougelet <rgougelet at gmail.com> wrote:
> I just wanted to verify the following:
> EEG.icaact = EEG.icaweights*EEG.data;
> EEG.data = EEG.icawinv*EEG.icaact;
> When applying an ICA decomposition to a dataset in earlier preprocessing,
> I want to see the channel-level activity of a single component. Is this the
> correct approach?:
> comp_chan_data = EEG.icaweights(comp_i,:)'.*EEG.data;
> EEG.icaact(comp_i,:) = sum(comp_chan_data,1);
> Where comp_chan_data is a nbchan x pnts or nbchan x trials x pnts matrix?
> So, if I wanted to look at the contribution of a single component at
> channel 15 I'd simply use comp_chan_data(15,:) or comp_chan_data(15,:,:)?
> Is polarity adequately "undistributed" from the ICA decomposition back to
> the channels with these transformations? Thanks.
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