Pupil Dynamics Reflect Uncertainty-Driven Adjustments of Probability Learning
This study demonstrates that probability learning in dynamic environments relies on the computationally rational integration of distinct uncertainty factors, where phasic and tonic pupil dilations respectively track change point probability and prior uncertainty to modulate learning rates.