<p>Data from My Virtual Dream installation Oct 5-6, 2013.</p>
<p>Research article with full description of the data : TBA</p>
<p>Data are organized in subject-specific matlab files, according to session number (1-29), pod number (1-4) and player number (1-5). Entire experiment was performed in 29 sessions, from 7pm, Oct 5, 2013 to 6:30am Oct 6, 2013. During each session there were 20 subjects, divided into 4 pods of 5 subjects. Only complete, partially preprocessed, data sets are included. For each subject, condition specific EEG time series were extracted and resampled to 256Hz.</p>
<p>Subject's .mat file contains the following variables:</p>
<p><strong>session</strong> -- number -- session number (1-29), the same as in the filename</p>
<p><strong>pod</strong> -- number -- pod number (1-4). </p>
<p><strong>position</strong> -- number -- subject's position within pod (1-5, sitting arrangement from left to right)</p>
<p><strong>age</strong> -- number -- subject's age in years</p>
<p><strong>sex</strong> -- string -- 'f' or 'm'</p>
<p><strong>srate</strong> -- number -- sampling rate is the same for all subjects: 256Hz</p>
<p><strong>chan_names</strong> -- cell array of strings -- names of 4 EEG channels, given in the same order as EEG data</p>
<p><strong>conditions</strong> -- cell array of strings -- names of conditions</p>
<p><strong>cond_eeg</strong> -- cell array of 2D matrices -- conditition specific EEG data in (time x channel) format</p>
<p><strong>aP</strong> -- 1D array -- condition specific aP performance measure (number of a+ states divided by number of a- states during first 20 seconds of the condition)</p>
<p><strong>bP</strong> -- 1D array -- condition specific bP performance measure (number of b+ states divided by number of b- states during first 20 seconds of the condition)</p
