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Søren Føns Vind Nielsen

2 accepted papers

2018

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy

ICASSP 2018accepted

Dynamic functional connectivity has become a prominent approach for tracking the changes of macroscale statistical dependencies between regions in the brain. Effective parametrization of these statistical dependencies, referred to as brain states, is however still an open problem. We investigate dif…

Cited by 0SourceScholar
2017

Scalable group level probabilistic sparse factor analysis

ICASSP 2017accepted

Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a scalable group level probabilistic sparse factor analysis (psFA) allowing spatially sparse maps, component…

Cited by 0SourceScholar