C. A. Rothkopf

Putting perception into action: Inverse optimal control for continuous psychophysics

This paper introduces a Bayesian inverse optimal control framework for continuous psychophysics that recovers perceptual thresholds and estimates action variability, internal costs, and subjective beliefs.

Learning in the eyes: specific changes in gaze patterns track explicit and implicit visual learning

The paper shows that eye movement patterns change with implicit and explicit visual learning, correlating with knowledge acquisition.

Intuitive physical reasoning about objects' masses transfers to a visuomotor decision task consistent with Newtonian physics

The paper shows participants adjusted their button presses to slide pucks in accordance with Newtonian physics, incorporating perceptual uncertainty and motor variability.

Optimal planning of eye movements

This study shows humans can plan multiple eye movements, with behavior better explained by an ideal planner than an ideal observer in visual search tasks.