Processed Empirical EEG Data: LAPref, Beta, Non-Gaussian

These are processed EEG files with the following characteristics: Laplacian-transformation, theta-alpha range, Non-Gaussian-transformed. These data are reported in Trujillo, Stanfield, & Vela (2017). The effect of electroencephalogram (EEG) reference choice on information-theoretic measures of the complexity and integration of EEG signals. In general, the pattern of pre- versus poststimulus differences in all EEG properties was similar to that of the observed categorization tasks and was highly reliable across the 16 simulations. Data are in Matlab EEGLAB toolbox data format (.set, .fdt).