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