Our research focuses on understanding the neural basis of selective attention and decision making. We study these high-level cognitive phenomena in human participants with non-invasive approaches. We employ a range of experimental techniques, including behavioral psychophysics, computational modeling, neuroimaging (fMRI/EEG) and magnetic/electrical brain stimulation. A second, emerging area of research in the lab involves applying artificial intelligence (AI) algorithms, including deep learning, for understanding brain mechanisms of attention, in healthy individuals, and its decline, in neurodegenerative disorders.

Research Projects