1/6 unfoldtoolbox.org paper out!
You have multiple events, eye movements, differences in RT or stimulus-features, use VR, mobile EEG? You might need to #unfold your potentials!
Paper: doi.org/10.7717/peerj.…
with @olafdimigen
You have multiple events, eye movements, differences in RT or stimulus-features, use VR, mobile EEG? You might need to #unfold your potentials!
Paper: doi.org/10.7717/peerj.…
with @olafdimigen
2/6
In short: We solve overlap by deconvolution and at the same time model covariates using (non-)linear multiple regression.
See the full (detailed) explanation thread:
In short: We solve overlap by deconvolution and at the same time model covariates using (non-)linear multiple regression.
See the full (detailed) explanation thread:
3/6 We want all the plots!! Unfold offers many different plotting functions to help you understand your model and results
4/6 Example: Disentangle stimulus & button ERPs and eye movements
EEG = uf_designmat(EEG,cfg,'eventtypes',{'stim','button','eye'},'formula',{'y~1+cat(cond)','y~1','y~1'})
EEG = uf_timeexpandDesignmat(EEG,'timelimits',[-.5,1])
EEG = uf_glmfit(EEG,cfg)
ufresult = uf_condense(EEG)
EEG = uf_designmat(EEG,cfg,'eventtypes',{'stim','button','eye'},'formula',{'y~1+cat(cond)','y~1','y~1'})
EEG = uf_timeexpandDesignmat(EEG,'timelimits',[-.5,1])
EEG = uf_glmfit(EEG,cfg)
ufresult = uf_condense(EEG)
5/6 helpful & intuitive tutorial section (we gave it our best) explaining both how overlap control using the LinearModel works & how we use spline regression to account for possible non-linear relations
6/6 Many more things in the paper. Check out the toolbox at unfoldtoolbox.org
If you need overlap-corrected mixed models, the addon #unmixed is available too: github.com/unfoldtoolbox/…
If you need overlap-corrected mixed models, the addon #unmixed is available too: github.com/unfoldtoolbox/…
If you are interested in the analysis of overlapping eye-movements using #unfold, check out our preprint:
"Analyzing combined eye-tracking/EEG experiments with (non)linear deconvolution models"
Explanation-Thread:
Paper: biorxiv.org/content/10.110…
"Analyzing combined eye-tracking/EEG experiments with (non)linear deconvolution models"
Explanation-Thread:
Paper: biorxiv.org/content/10.110…
