Advanced EEG Workshop on Brain Decoding

  • Teaching

    Details

    Faculty Faculty of Humanities
    Domain Psychology
    Code UE-L25.01590
    Languages English
    Type of lesson Seminar
    Level Master
    Semester SP-2023

    Schedules and rooms

    Summary schedule Friday , Cours bloc (Spring semester)

    Teaching

    Responsibles
    • Smith Fraser Wilson
    Teachers
    • Smith Fraser Wilson
    Description

    In the present workshop attendees will learn the theoretical background as well as the practical implementation of applying machine learning techniques to EEG data. We will focus on brain decoding using linear SVMs which have proven to be very successful in the field. We will then move on to cover how one can relate neural representations measured by EEG to DNN model representations as in now common in the cognitive neuroscience of sensory processing. We will mainly use Matlab for this workshop (though may dip into Python at times).
    Softskills No
    Off field No
    BeNeFri No
    Mobility No
    UniPop No
  • Dates and rooms
    Date Hour Type of lesson Place
    24.03.2023 09:15 - 17:00 Cours RM 01, Room C-0.101
    25.03.2023 09:15 - 17:00 Cours RM 01, Room C-0.101
  • Assessments methods

    Travail écrit - SP-2023, Session d'été 2023

    Assessments methods By rating

    Travail écrit - SP-2023, Autumn Session 2023

    Assessments methods By rating

    Travail écrit - SA-2023, Session d'hiver 2024

    Assessments methods By rating

    Travail écrit - SP-2024, Session d'été 2024

    Assessments methods By rating
  • Assignment
    Valid for the following curricula:
    Digital Neuroscience (Specialised Master) 120 [MA]
    Version: 2023_1/V_01
    sp-MSc in Digital Neuroscience, compulsory courses (practical courses, projects, seminars) > sp-MSc in Digital Neuroscience, compulsory courses (from AS2023 on)
    Psychology 30 [MA]
    Version: SA22_MA_PS_fr_de_bil_v01
    Option Cognitive Neuroscience > Social, Cognitive and Affective Neuroscience – SCAN
    Psychology 30 [MA]
    Version: SA21_MA_PS_fr_de_bil_v01
    Option Cognitive Neuroscience > Social, Cognitive and Affective Neuroscience – SCAN