Behavioral Data for Large-scale Dynamics of Perceptual Decision Information across Human Cortex

This dataset contains behavioral data for "Large-scale Dynamics of Perceptual Decision Information across Human Cortex".<br><br>The HDF file can be read by using `pandas.read_hdf`. This will return a table that contains one row per trial. <br><br>Importantly, the column "hash" matches the index "trial" in the source reconstructed data.<br><br><br>Some important columns:<br><br> choice_rt - reaction time<br> confidence - confidence judgement (1 = low, 2 = high)<br> contrast_probe - sequence of 10 contrast values, one for each sample (0.5 = reference)<br> expand - whether grating was expanding (1) or contracting (-1)<br> noise_sigma - generative standard deviation of distribution that contrast samples were drawn from<br> repeat - whether this was a repeated stimulus<br> response - choice (-1 = 'reference higher', 1 = 'test higher') <br> side - indicates correct answer (-1 = 'reference higher', 1 = 'stimulus higher')<br> snum - subject number<br> hash - unique trial identifier (matches 'trial' field in source reconstructed data)<br><br>Last tested with pandas 0.24.2.