Details

Faculty	Faculty of Humanities
Domain	Psychology
Code	UE-L25.01822
Languages	English
Type of lesson	Seminar
Level	Master
Semester	SS-2026

Schedules and rooms

Summary schedule

Wednesday 09:15 - 12:00, Hebdomadaire, RM 02, Room S-2.117 (Spring semester)

Teaching

Teachers	Stacchi Lisa
Description	The course Neural decoding of EEG signals will introduce the theoretical background of applying machine learning techniques to EEG data. It will focus on brain decoding using linear Support Vector Machine (SVM), which has proven to be very effective in the field. The course will cover the principle behind SVM classification, methods for evaluating classifier performance, and how to interpret the results. Theory will be paired with concrete examples demonstrating how these techniques have been applied in literature. Additionally, hands-on exercices in Matlab - using both simulated and real EEG data - will provide practical experience. The course will also explore how neural representations measured by EEG can be compared and related across populations and methodologies.
Softskills	No
Off field	Yes
BeNeFri	No
Mobility	No
UniPop	No

Written paper - SS-2026, Session d'été 2026

Assessments methods

By rating

Written paper - SS-2026, Autumn Session 2026

Assessments methods

By rating

Written paper - AS-2026, Session d'hiver 2027

Assessments methods

By rating

Written paper - SS-2027, Session d'été 2027

Assessments methods

By rating