[MULTIVARIATE EEG ANALYSIS] _online course
Video lectures _
Part 1. Introduction to the electroencephalography (EEG) signal
Video lectures:
Part 2. EEG decoding: Introduction to classifiers
Video lectures:
Practice with EEG preprocessing:
Practice with LDA on EEG voltage amplitude:
Part 3. Cross-decoding, statistics and confounds
Video lectures:
Practice with time generalization:
Practice interpreting the classifier and addressing confounds:
Part 4. Representational Similarity Analysis (RSA) and beyond
Video lectures:
Practice with RSA:
Practice with forward encoding models:
Part 5. Introduction to Deep Neural Networks