Sajjad Zabbah

This paper presents a VR system integrated with wearable MEG that enables whole-brain recordings during naturalistic behaviors.

The paper develops a neurocomputational model of hierarchical decision-making that captures trial-by-trial variability and reproduces human behavioral patterns.

This study investigates human escape behavior in virtual reality, revealing structured kinematic patterns influenced by threat and context, distinct from those observed in other mammals.

The paper investigates how shared and subjective uncertainty align during social interactions using neural and behavioral data, finding that social information modulates evidence accumulation and neural dynamics.

The paper shows that integrating evidence over time improves confidence-accuracy associations, with EEG and pupil responses reflecting this in double-pulse trials.