Dynamic estimation of task-relevant variance in movement under risk
Michael Landy, Julia Trommershäuser, Nathaniel Daw
Humans take into account their own movement variability as well as potential consequences of different movement outcomes in planning movement trajectories. When variability increases, planned movements are altered so as to optimize expected consequences of the movement. We study the dynamics of such strategy adjustment in a visuomotor decision task in which subjects reach toward a display with regions that lead to rewards and penalties, under conditions of changing uncertainty.