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<p>Here you find open data and code for the following paper:</p> <p><strong>Ehinger & Dimigen (2018): Unfold: An integrated toolbox for overlap correction, non-linear modeling, and regression-based EEG analysis. <em>BioRxiv</em>. <a href="https://doi.org/10.1101/360156" rel="nofollow">https://doi.org/10.1101/360156</a></strong></p> <p>This data, recorded from a single subject, allows you to recreate Figure 10 of the paper, where we disentangle the overlapping potentials elicited by stimulus onsets, involuntary saccades and button presses in a standard face recognition experiment during which participants had to classify emotional human faces:</p> <p>The zip file (about 308 MB large) contains:</p> <ul> <li>EEG dataset with stimulus/saccade/response events in EEGLAB format</li> <li>a MATLAB script to deconvolve this data and recreate Figure 10 of the paper</li> </ul> <p>The data from this experiment has been previously reported in:</p> <p><strong>Dimigen, O., Valsecchi, M., Sommer, W., & Kliegl, R. (2009). Human microsaccade-related visual brain responses. <em>Journal of Neuroscience</em>, 29, 12321-12331.</strong> <a href="http://www.jneurosci.org/content/29/39/12321" rel="nofollow">[link]</a></p> <p>Please cited these two papers as a reference if you use this data and/or script.</p>
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