CSMSDL: A common sequential dictionary learning algorithm for multi-subject FMRI data sets analysis

Abstract

Sequential dictionary learning algorithms has gained widespread acceptance in functional magnetic resonance imaging (fMRI) data analysis. However, many problems in fMRI data analysis involve the analysis of multiple-subject fMRI data sets and the existing algorithms do not extend naturally to this case. In this paper we propose an algorithm dedicated to multiple-subject fMRI data analysis. The algorithm is named SMSDL for sequential multi-subject dictionary learning and differs from existing dictionary learning algorithms in its dictionary update stage. This algorithm is derived by using a variation of the power algorithm in the dictionary update stage to extract the common information among..