BBG/Vis Seminar: Independent Component Analysis - an introduction

Speaker: Erik Hanson  

Independent Component Analysis (ICA) is a method for separating mixed non Gaussian data. The method is used in a large range of applications including fMRI. In this talk the method is defined from different viewpoints and illustrated with simple examples.  Some of the mathematical and and statistical framework is also introduced.