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 12:15 bis 1:45 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.

ISIS:

CourseID 14081

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.

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/WS18_IL_BCI (last edited 2018-09-18 06:09:54 by BenjaminBlankertz)