Mechanism for adjusting a learned decision boundary under changing context

Determine the mechanism by which an agent that has learned a decision boundary subsequently adjusts that boundary in response to changes in task context.

Background

Empirical studies show that agents flexibly trade speed and accuracy when payoff structures or task statistics change, implying adjustments to decision strategy after learning. Theoretical accounts based on accumulation-to-bound models posit boundary shifts, but neurophysiological evidence has struggled to identify corresponding changes in putative boundary neurons. The paper highlights that the mechanism for post-learning boundary adjustment is not yet clarified.