using eye-tracking to study the relationship between what people look at and what they choose
using functional magnetic resonance imaging (fMRI) to see how the brain assigns value to different items and makes choices between them
using computational models like the drift-diffusion model (DDM) to predict peoples' behavior in different tasks
using brain stimulation techniques like transcranial direct current stimulation (tDCS) to influence how the brain makes decisions
using brain-damaged and psychiatric patients to understand abnormalities in decision-making
using fMRI data combined with machine learning techniques to predict mental states and improve economic institutions
