April 17, 2007
Using Image Stimuli to Drive fMRI Analysis
Recently machine learning methodologies have been increasingly used to analyse the relationship between stimulus categories and fMRI responses. In this talk, we introduce a new unsupervised machine learning approach to fMRI analysis approach, in which the simple categorical description of stimulus type (e.g. type of task) is replaced by a more informative vector of stimulus features. We compare this new approach with a standard Support Vector Machine (SVM) analysis of fMRI data using a categorical description of stimulus type of an emotional based fMRI experiment.