Luc P. J. Selen

This study investigates how threat influences motor preparation and stretch reflexes during reaching tasks, finding direction-selective modulation of long-latency reflexes under threat.

The paper investigates heart-voice coupling by analyzing vocal acoustic envelopes and cardiac activity, finding significant relationships and distinguishing between vocal fold and pulmonary mechanisms.

This study shows that human steering behavior adjusts feedback control strategies based on spatial constraints, supporting three predictions about variability and corrective responses in different gate conditions.

The paper investigates how a declarative memory task affects fast and slow motor adaptation processes during force field learning, finding a potential reduction in fast process retention.

The paper shows that combining visual and inertial feedback improves steering performance under dynamic perturbations, with better performance attributed to shorter vestibular delays.

This paper shows that human voicing fluctuates in sync with whole-body kinetics, specifically arm movements and postural muscle activity, and that adding mass to the upper limb enhances this interaction.

This study investigates how arm movements affect acoustic markers of expiratory flow, finding increased amplitude peaks and timing correlations with kinematic peaks.

This study investigates whether participants build an internal model of steering dynamics to predict vestibular reafference during self-motion estimation.

The paper analyzes single-trial muscle activity during a reach task to show how competing motor plans influence movement, revealing an initial averaged command that transitions to a resolved single command.

The paper examines biomechanical interactions between upper-limb movements and voice production by measuring muscle activity and body center of mass during vocalization.

The paper examines how fast and slow adaptation processes contribute to motor learning generalization, finding a mix of plan- and motion-referenced updating strategies among participants.

The paper shows that humans integrate artificial motor signals with vestibular feedback during self-motion tasks, updating internal models when control dynamics change.

This study empirically distinguishes Bayesian model updating and revision by analyzing prediction error dynamics during learning tasks.

The paper investigates how body motion affects corticospinal excitability and hand preference during reaching tasks, finding that MEP amplitudes modulate with motion phase.

This paper introduces a Bayesian adaptive stimulus selection algorithm to improve model comparison in psychophysical experiments, showing it outperforms random sampling and predetermined stimuli.