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200234 SE Theory and Empirical Research (Mind and Brain) 2 (2022W)
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 Fr 02.09.2022 10:00 to Mo 26.09.2022 10:00
- Deregistration possible until Mo 03.10.2022 10:00
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
This course is given in a block format of 9 units in November. Each unit will be around 4 hours long (including breaks) and divided into 2 parts: Unless otherwise instructed, we will always begin with theoretical lectures in HS H (at the dates/times below) before moving to the 'EEG Auswerteraum' on the 3rd floor for practical programming and analysis sessions.
Actual times for the course:Tuesdays 9:45 - 14:15
Thursdays 11:30 - 15:00Units may be moved online depending on the Covid-19 situation. You will be notified of any changes in advance.To register for this course please send an email to:moritz.stolte@univie.ac.atYou will receive a confirmation before the end of the registration period.It is highly recommended that you have access to a computer that meets the technical requirements to run MATLAB (https://de.mathworks.com/products/matlab.html), the Psychophysics Toolbox (http://psychtoolbox.org), and EEG Lab (https://sccn.ucsd.edu/eeglab/index.php). In addition, MATLAB should be installed and working already for the first session on 03.11.2022 (you may find a cheap student version online)! This will enable you to work on assignments on your own and is necessary in case we have to move the course online.The max. number of students for the course is 20.
The course is entirely given in English.
Students who have completed TEWA I will be prioritized.
- Thursday 03.11. 11:30 - 14:45 Hörsaal H Psychologie KG Liebiggasse 5
- Tuesday 08.11. 09:45 - 13:00 Hörsaal H Psychologie KG Liebiggasse 5
- Thursday 10.11. 11:30 - 14:45 Hörsaal H Psychologie KG Liebiggasse 5
- Tuesday 15.11. 09:45 - 13:00 Hörsaal H Psychologie KG Liebiggasse 5
- Thursday 17.11. 11:30 - 14:45 Hörsaal H Psychologie KG Liebiggasse 5
- Tuesday 22.11. 09:45 - 13:00 Hörsaal H Psychologie KG Liebiggasse 5
- Thursday 24.11. 11:30 - 14:45 Hörsaal H Psychologie KG Liebiggasse 5
- Tuesday 29.11. 09:45 - 13:00 Hörsaal H Psychologie KG Liebiggasse 5
- Thursday 01.12. 11:30 - 14:45 Hörsaal H Psychologie KG Liebiggasse 5
Information
Aims, contents and method of the course
Assessment and permitted materials
[ASSESSMENT]
The final grade considers active participation, oral presentations, and completion of assignments. Further details will be discussed in the course.
The final grade considers active participation, oral presentations, and completion of 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 14.09.2022 14:08
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) 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.