Data set Ia: ‹self-regulation of SCPs›

Datasets provided by University of Tuebingen.
Correspondence to Thilo Hinterberger <>

Description of Experiments:

The datasets were taken from a healthy subject.
The subject was asked to move a cursor up and down on a computer screen, while his cortical potentials were taken. During the recording, the subject received visual feedback of his slow cortical potentials (Cz-Mastoids).  Cortical positivity lead to a downward movement of the cursor on the screen.  Cortical negativity lead to an upward movement of the cursor.  Each trial lasted 6s.
During every trial, the task was visually presented by a highlighted goal at either the top or bottom of the screen to indicate negativity or positivity from second 0.5 until the end of the trial. The visual feedback was presented from second 2 to second 5.5. Only this 3.5 second interval of every trial is provided for training and testing. The sampling rate of 256 Hz and the recording length of 3.5s results in 896 samples per channel for every trial.

Trial structure overview:
Duration: 6 s, no inter trial intervals
Task presentation: from 0.5 s to 6.0 s
Feedback period: from 2.0 s to 5.5 s


Amplifier: PsyLab EEG8
A/D-converter: Computer Boards PCIM-DAS1602/16 bit
Amplitude range: +/-1000 µV
Sampling rate: 256 S/s
EEG data was taken from the following positions:
Channel 1: A1-Cz (10/20 system) (A1 = left mastoid)
Channel 2: A2-Cz
Channel 3: 2 cm frontal of C3
Channel 4: 2 cm parietal of C3
Channel 5: 2 cm frontal of C4
Channel 6: 2 cm parietal of C4
All values are in µVolt.

Traindata_0.txt and Traindata_1.txt:

268 trials were recorded on two different days and mixed randomly. 168 of the overall 268 trials origin from day 1, the remaining 100 trials from day 2.
The 2-D Matrices Traindata_0.txt and Traindata_1.txt contain data of 135 trials belonging to class 0 and 133 trials belonging to class 1. The matrix dimensions are 135x5377 and 133x5377.
Every line of a matrix contains the data of one trial. The first column codes the class of the trial (0/1). The remaining columns contain the time samples of the 6 EEG channels. This starts with 896 samples from channel 1 and ends with 896 samples from channel 6.


This 2-D matrix has the dimension 293x5376 and contains 293 trials of test data.  Every trial was recorded on the second day and belongs to either class 0 or class 1. The matrix has nearly the same structure as the train data matrices exept for the missing class tag. Thus, every line contains 6 times 896 samples.

Performance criteria:

Please provide your class rating (0 or 1) for every trial in Testdata.txt. Please keep the order of trials unchanged when providing your results. The performance of your classification will be the correct response rate defined by the number of correctly classified trials divided by the total number of trials.