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. Frontiers in Neuroscience, 11: 425. doi: 10.3389/fnins.2017.00425. Data are in Matlab EEGLAB toolbox data format (.set, .fdt)
Electroencephalography (EEG) has made much progress since the 1920s, when Dr. Hans Berger began his ...
Neurometry (a.k.a. quantitative EEG or qEEG) is a popular method to assess clinically relevant abnor...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are the scripts used to import the empirical data and perform the fast fourier transform (FFT)...
This is the raw resting state data reported in Trujillo, Stanfield, & Vela (2017). The effect of...
Electroencephalography (EEG) has made much progress since the 1920s, when Dr. Hans Berger began his ...
Neurometry (a.k.a. quantitative EEG or qEEG) is a popular method to assess clinically relevant abnor...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are processed EEG files with the following characteristics: Laplacian-transformation, theta-al...
These are the scripts used to import the empirical data and perform the fast fourier transform (FFT)...
This is the raw resting state data reported in Trujillo, Stanfield, & Vela (2017). The effect of...
Electroencephalography (EEG) has made much progress since the 1920s, when Dr. Hans Berger began his ...
Neurometry (a.k.a. quantitative EEG or qEEG) is a popular method to assess clinically relevant abnor...
The dataset is made primarily for the task of real-time low latency filtering of the EEG data in the...
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