Dominik Straub

This study disentangles visual and motor contributions to tracking performance in continuous psychophysics by analyzing cross-correlogram metrics under visual impairment and hand dominance conditions.

This study shows tactile suppression during movement results from optimal state estimation, where the nervous system dynamically weights internal predictions against sensory feedback based on uncertainty.

This study introduces a continuous proprioceptive tracking paradigm and computational modeling to capture dynamic proprioception in real time, showing it provides faster and more accurate limb state estimates than vision.

The paper shows humans integrate sensorimotor variability, Newtonian physics, and risk decision-making to optimize rewards in a virtual puck-sliding task.