200234 SE Theory and Empirical Research (Mind and Brain) 2 (2023W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 28.08.2023 09:00 to Mo 25.09.2023 09:00
- Deregistration possible until Tu 03.10.2023 09:00
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
LV findet online statt.
- Friday 06.10. 10:00 - 11:30 Digital
- Friday 13.10. 10:00 - 13:15 Digital
- Friday 20.10. 10:00 - 13:15 Digital
- Friday 27.10. 10:00 - 13:15 Digital
- Friday 17.11. 10:00 - 13:15 Digital
- Friday 24.11. 10:00 - 13:15 Digital
- Friday 01.12. 10:00 - 13:15 Digital
- Friday 15.12. 10:00 - 13:15 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
[ASSESSMENT]
The final grade considers active participation, oral presentations, and completion of programming and data analysis assignments. Further details will be discussed in the course.
The final grade considers active participation, oral presentations, and completion of programming and data analysis assignments. Further details will be discussed in the course.
Minimum requirements and assessment criteria
[REQUIREMENTS]
MATLAB or other programming skills are an advantage.
You must have access to a computer with a working version of MATLAB and required toolboxes!
MATLAB or other programming skills are an advantage.
You must have access to a computer with a working version of MATLAB and required toolboxes!
Examination topics
Discussed in class
Reading list
Discussed in class
Association in the course directory
Last modified: We 04.10.2023 10:48
The course teaches the theoretical background and practical steps necessary to perform (and interpret the results of) electroencephalographic (EEG) experiments of the human brain.
We will use custom code in MATLAB (and EEGLAB/ERPLAB) to analyze neural time-frequency data.Theory - Origin of the EEG signal
General data management in EEG Lab (MATLAB)
Data Preprocessing, e.g.:
- re-referencing/resampling
- filtering
- data visualization and artifact rejection
- independent component analysis
Fast Fourier Transform
Complex wavelet convolutionTheoretical motivation for event related potential (ERP) and time-frequency analyses.[METHODS:]
Practical MATLAB programming sessions, oral presentations by lecturer and students, in-class participation, weekly homework.