Because humans perceive information from the external environment and make behavioral decisions based on it, understanding control mechanisms is essential. The ability to flexibly adjust cognitive settings is one of the most important human capacities. Since emotional processes also influence attentional processes, the lab examines the interaction between attention and emotion.

To achieve its research goals, the lab primarily combines behavioral measures with psychophysiological recordings such as electrodermal activity (EDA), electrocardiography (ECG), and electroencephalography (EEG). Machine learning techniques, including multivariate pattern analysis (MVPA), are used to analyze EEG data and decode human brain activity. In addition, the lab conducts research on cognitive control and visual attentional selection using functional magnetic resonance imaging (fMRI).