This research is focused on the application of statistical methods (eg, Bayesian inference) to. The Joint Detection-Estimation (JDE) framework I have promoted gives access the neuroscientist with region-specific HRFs and detection maps of brain activity in response to given experimental task or stimulus or to a combination of those from functional brain imaging (fMRI) data. This novel modelling takes place in the Bayesian formalism and is flexible enough to account for some putative deactivations (eg epilepsy) or neuronal habituation generating the so-called repetition-suppression effect. Moreover, spatial dependency is accounted for through the use of Markov random fields that avoids us to spatially filter the data sets.
Currently, we are working on the following directions: