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Deniz Vatansever

2 accepted papers

2016

A Metropolis-within-Gibbs sampler to infer task-based functional brain connectivity

ICASSP 2016accepted

Examining the dynamic aspects of functional networks in the brain is imperative in order to obtain a thorough description and to gain a better insight into its several features. Present methods of analysing brain data in task-conditions mainly include concatenation followed by temporal correlation.…

Cited by 0SourceScholar
2015

Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters

ICASSP 2015accepted

Recent empirical research has discovered that linkages among fMRI signals of the brain in resting-state have meaningful temporal variations. Most current studies of brain networks assume that these linkages are constant. We propose a model and an accompanying algorithm to infer and track changes in…

Cited by 0SourceScholar