Course description
EEG: Signals to Science provides a practical introduction to electroencephalography for graduate students and researchers wanting to expand their methodological toolkit. Participants will learn how EEG signals arise, how they are recorded, and how to analyze neural responses using MATLAB and Python.
This is part of the HumanLab series.
Target audience
PhD candidates, researchers, master students; psychology, linguistics, music cognition, cognitive neuroscience, speech and hearing science
Learning outcomes
- Participants will learn about electroencephalography and what it is used for in research contexts
- Strengths and weaknesses
- How EEG can support your research questions
- Basic preprocessing and analysis of EEG signals in Matlab/EEGLab and python with some sample code provided
- Experimental design considerations when using EEG or including EEG in your study.
Prerequisites
- Beginner / Intermediate level: Some prior experience with programming is beneficial, either with Matlab or Python. Familiarity with computer systems. Exposure to language around cognitive psychology and neuroscience. Little to no overall experience is required.
Technical and Material Requirements
- Python or Matlab (with EEGLAB if desired) on a laptop. Internet connection may be beneficial for installing other packages as necessary.
- Some practice datasets will be available for download.
Lunch
- There will be a complementary buffet-lunch at 12:00-13:00 from the Sverdrups spiseri (Georg Sverdrups Hus, 2nd floor).
- After you get your lunch, join us at Store møterom where we have reserved seats for #DSDays2026 participants.
Number of participants
After the soft deadline, a waiting list will be automatically handled upon de-registrations.
Contact
If you have any questions regarding this course, or anything else about the DSDays 2026 event, please contact us per email: digitalscholarship@ub.uio.no