NeurIPS2020 Spotlight "Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence"

Our latest work "Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence", a collaboration between MLCB (Bastian, Christian and Karsten) and their collaborators Tristan Yates, Nicholas Turk-Browne, Smita Krishnaswamy (all Yale University) and Guy Wolf (Université de Montréal), was accepted as spotlight at NeurIPS 2020.

by Katharina Heinrich

The full paper is available on external page ArXiv and the code on external page GitHub.