Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain

no code implementations • NeurIPS 2016 • Timothy Rubin, Oluwasanmi O. Koyejo, Michael N. Jones, Tal Yarkoni

This paper presents Generalized Correspondence-LDA (GC-LDA), a generalization of the Correspondence-LDA model that allows for variable spatial representations to be associated with topics, and increased flexibility in terms of the strength of the correspondence between data types induced by the model.