Søren Føns Vind Nielsen

PhD Student @ Cognitive Systems, DTU Compute


In a project carried out together with Jesper L. Hinrich and Julian K. Larsen, supervised by Mikkel N. Schmidt, a hierarchical non-parametric Bayesian model (cf. Schmidt et. al. (2014) ) for undirected network data was implemented in C++.


Non-parametric Dynamic Functional Connectivity Modeling (NDFC)

The NDFC software was used to model dynamic functional connectivity in fMRI and EEG data using a non-parametric Hidden Markov Model (Beal 2002). The code is based on Juergen Van Gaels IHMM-Toolbox .