Zoltán Nagy

The paper uses computational modeling and fMRI to investigate how environmental uncertainty influences premature decision-making impulsivity in humans.

This paper introduces DIPPI, a new MRI technique that estimates the g-ratio per fibre population in crossing voxels, improving myelin quantification in complex white matter regions.

The paper investigates how people weigh self-gathered versus social information in decision-making using Bayesian models and fMRI, showing distinct brain regions for each type of information.