Many labs, including ours, are pursuing methods for exploiting the temporal resolution of the EEG to study the dynamics of brain processing and the spatial resolution of fMRI to determine where in the brain these processes are situated.  Our work centers on non-linear analysis methods for studying dynamics,  EEG source-localization methods based on inverse modeling procedures and simultaneous EEG/fMRI integration.

Current projects:

• Computational methods for nonlinear analysis in the time-domain via Volterra kernels
• Application of sparse-priors and fMRI constraints  for inverse modeling
• Simultaneous EEG/fMRI using frequency tagging methods