Raz Leib

The paper investigates how the sensorimotor control system represents external forces and shows that representations are flexible and adapt based on environmental demands.

This study decodes human intent during collaborative object manipulation using multimodal signals and explains how sensorimotor communication occurs through action.

The paper shows that the motor system uses error prediction to determine which coordinate system for dynamics representation is more reliable, explaining past discrepancies.

The paper proposes a theoretical framework to quantify natural movement in animals and relate it to length and quality of life, validated in Drosophila.

This study investigates how the direction of artificial skin-stretch affects perceived stiffness and grip force control, finding that positive stretch increases stiffness perception more than negative stretch.

This study shows that congruent visual cues enhance motor adaptation by improving state estimation during learning of novel dynamics.

The paper shows that grip force control during object manipulation involves a switch between two feedforward control strategies based on object stiffness.

The paper investigates how delays in visual and force feedback affect stiffness perception and grip force control during a stiffness discrimination task, finding that participants increased grip force regardless of feedback delay.

The paper investigates how artificial skin-stretch affects stiffness perception and grip force adjustment, finding a linear relationship between stretch amplitude and perceptual illusion.

This study investigates how the brain represents sensory feedback delays by exposing participants to a delayed pong game and finding that delay is represented as a spatial gain change rather than a time lag.

The paper proposes an intermittent control model that predicts triphasic muscle activity during hand reaching using unsupervised machine learning and one parameter.