Project ''Brain-Computer Interfacing''
Course information
Credit |
6 SWS, 9 ECTS |
Time: |
some common dates on Tuesdays at 10am |
otherwise up to agreement (group work; conducting experiments) |
|
Location: |
TUB Marchstr. 23, Room MAR 4.044 |
First meeting to distribute topics: |
First week of lecture term |
Lecturers: |
Daniel Miklody, Benjamin Blankertz |
LSF: |
Last entry in this list. |
ISIS: |
Content
This projects conveys experimental competences of Brain-Computer Interfacing (BCI) exemplary. Moreover, theoretical skills in signal processing and machine learning are trained practically in hands-on experiments with self acquired data. A typical project is as follows: work out an experimental design for a given hypothesis; implement the experiment and conduct a study (including the acquisition of physiological data) with about 6 participants; investigate the acquire data with standard analysis methods and techniques from machine learning; put the results into perspective given the state-of-the-art and present them as a talk in a written report. Projects are performed in groups of 2 to 4 students.
Note: This project is about the practical aspects of Brain-Computer Interfaces. The background about this field of research is given in the lecture Brain-Computer Interfacing.
Requirements
Programming skills (Matlab/Phyton) and basic knowledge in signal processing and machine learning is required. Having participated in the lecture Brain-Computer Interfacing before is helpful but not required.
Active participation in the project and presentation of the results in a talk and in a report are required.
Modules
This course establishes the following module:
#40007 "Project: Brain-Computer Interfacing" (9 LP) PJ
Material
- Slides / exercises will be put on the ISIS page of the course.