Ben has extensive experience in cognitive neuroscience. His previous work includes fMRI, TMS, and behavioral studies of attention, aging, language, and motor fatigue. He also has experience in designing and conducting fMRI and behavioral studies with stroke and hemispherectomy patients. His current research interests include fMRI of the recognition of changes in statistical regularity, new methods in resting state analysis, and Dynamic Causal Modeling of the recognition of changes in statistical regularity. He has joined the lab as a graduate student in October, 2015.
Gianfranco has a background in psychology and engineering and is conducting an MEG study examining the coding of auditory and visual regularities.