Integrated lecture and tutorials “Brain-Computer Interfacing“ (in English!)

Course information

Credit4 SWS, 6 ECTS
Time:Thursday, 10:15 am to 11:45 am (video lecture); Thursday, 12:15 am to 13:45 am (video tutorial)
Location:Big Blue Button
Start:First week of lecture term
Lecturers:Benjamin Blankertz, Daniel Miklody
ISIS:[2021-WS] BCI-IL The enrollment key (for participants without TU account) is: BCI21


Forward and Backward Model of EEG; Event-related Potentials; Spatial Filters; Multivariate Analysis of Brain Signals; Single-Trial Classification of Spatio-Temporal Features; Regularized Discriminant Analysis; Interpretation of Spatial Patterns and Filters; Modulation of Brain Rhythms; Event-Related Synchronization and Desynchronization; Common Spatial Pattern Analysis; Classification of Spatio-Spectral Features; Coherency Analysis; Multi-Subject Learning; Experimental Design.


Programming skills (Python); background in mathematics, in particular linear algebra and probability theory.

Helpful, but not obligatory: Knowledge in signal processing and machine learning.


The grade is determined as ‚Portfolioprüfung‘ according to § 47 (2) AllgStuPO with the grading system 2 of faculty IV. * Exercises: Concurrent to the lecture, there will be a tutorial in which ten assignment sheets have to be solved. These are devoted to practical EEG analysis (programming). * Written exams: In the first half and in the second half of the lecture, there will a written test of about 45 minutes.

Depending on the module (see next section), there are further courses and elements and make up the final grade.


This course is part of the following modules:

  • #40515 „Brain-Computer Interfacing (basic)“ (6 LP) IL
  • #40362 „Brain-Computer Interfacing“ (9 LP) IL + SE


  • Slides / exercises will be put on the ISIS page of the course.


  • Blankertz B, Lemm S, Treder MS, Haufe S, Müller KR. Single-trial analysis and classification of ERP components – a tutorial. NeuroImage, 56:814-825, 2011. pdf url
  • Blankertz B, Tomioka R, Lemm S, Kawanabe M, Müller KR. Optimizing spatial filters for robust EEG single-trial analysis. IEEE Signal Proc Magazine, 25(1):41-56, 2008. pdf url
  • Treder MS, Blankertz B, (C)overt attention and visual speller design in an ERP-based brain-computer interface. Behav Brain Funct, 6:28, 2010. url
  • Parra LC, Spence CD, Gerson AD, Sajda P. Recipes for the linear analysis of EEG. NeuroImage, 28(2):326-341, 2005. pdf
  • Parra LC, Christoforou C, Gerson AD, Dyrholm M, Luo A, Wagner M, Philastides M, Sajda P. Spatiotemporal Linear Decoding of Brain State. IEEE Signal Proc Magazine, 25(1): 107-115, 2008. pdf
  • Key AP, Dove GO, Maguire MJ. Linking brainwaves to the brain: an ERP primer. Dev Neuropsychol. 2005;27(2):183-215. pdf
  • Pfurtscheller G, Lopes da Silva FH. Event-related EEG/MEG synchronization and desynchronization: basic principles. Clin Neurophysiol, 110(11):1842-1857, Nov 1999. pdf
  • Wolpaw JR, Birbaumer N, McFarland DJ, Pfurtscheller G, Vaughan TM. Brain-computer interfaces for communication and control. Clin. Neurophysiol., 113:767-791, 2002. pdf
  • Dornhege G, Millán J del R, Hinterberger T, McFarland DJ, Müller KR, editors. Toward Brain-Computer Interfacing. MIT Press, Cambridge, MA, 2007.
  • Wolpaw JR, Wolpaw EW, editors. Brain-Computer Interfaces: Principles and Practice. Oxford University Press, 2012. ISBN-13: 978-0195388855.