NEUROSCIENCE

Dynamic estimation of task-relevant variance in movement under risk

AUTHORS: 

Michael Landy, Julia Trommershäuser, Nathaniel Daw

 

ABSTRACT

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.