Alexandre L. S. Filipowicz

The paper quantifies human inference variability using an information-bottleneck framework, finding that performance differences stem from variable information capacity while efficiency remains consistent.

The paper investigates how the brain represents and updates the value of information (VOI) during decision-making using fMRI and a modified beads task.

This study shows that pupil diameter reflects individual differences in cognitive belief updating strategies during decision-making tasks.

This paper shows model-free and model-based learning strategies can be equally flexible and effective, challenging the assumption that model-based strategies are inherently more complex.