Department of Applied Mathematics and Computer Science
Richard Petersens Plads
Building 321 Room 107
2800 Kgs. Lyngby
machine learning two-person neuroscience physiological coupling social cognition dual EEG
Ivana Konvalinka works in the field of social neuroscience. Her research investigates intra- and inter-personal mechanisms underlying mutual social interaction at a behavioural, neural, and physiological level. She works on developing joint action paradigms and multivariate methods for quantifying two-person processes. In particular, she is interested in i) how people coordinate their actions in real time, ii) what neurophysiological mechanisms underlie mutual interaction, particularly how simultaneous brain recordings (i.e. dual EEG) can help better understand the neural basis of social interaction, and iii) the mechanism by which people's physiological (i.e. cardiac) signals couple together during action coordination and action observation.