Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers topics in neural signal processing, including Partial Least-Squares Correlation (PLSC), Independent Component Analysis (ICA), Central Limit Theorem, and the relevance of multivariate methods. It explores the impact of permutations, symmetry of ICA, and the distinction between PCA and ICA. The instructor discusses the application of graph theory in modeling brain networks, graph measures, connectomics, and graph partitioning. The lecture delves into the analysis of multi-voxel patterns in fMRI data, linear classification, loss functions, and cross-validation techniques.