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

Course information

Credit

4 SWS, 6 ECTS

Time:

Wednesday, 10:15 am to 11:45 am (lecture) and 12 bis 1:30 pm (exercise)

Location:

TUB Marchstr. 23, Room MAR 4.044

Start:

First week of lecture term

Lecturers:

Benjamin Blankertz, Daniel Miklody

LSF:

Last entry in this list.

Content

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.

Requirements

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

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

Certificates

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.

Modules

This course is part of the following modules:

Material

References

IDA Wiki: NT/Courses/IL_BCI (last edited 2018-09-10 08:41:43 by BenjaminBlankertz)