W. Pieter Medendorp

The paper tests two hypotheses about how the brain localizes touch and proprioception using Bayesian models, finding that tactile and proprioceptive localization rely on distinct prior expectations.

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 if increased movement resistance changes the planning horizon in sequential reaching tasks and finds no significant effect.

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 humans project tactile sensations onto hand-held tools using a model-driven psychophysics experiment, finding that touch is remapped into gaze-centered coordinates.

The paper explains both attractive and repulsive biases in the subjective visual vertical using a Bayesian model, resolving a long-standing question in perceptual psychology.

This paper demonstrates that transcranial ultrasonic stimulation (TUS) modulates saccadic eye movements in humans with high spatial and temporal precision, and shows that baseline GABAergic inhibitory tone predicts response variability.

This study investigates whether stimulus autocorrelation affects central tendency and serial dependence in vestibular path integration, finding these biases persist regardless of sequence protocol.

This study uses EEG to show that touch is encoded in an intrinsic, limb-specific spatial code rather than an extrinsic, limb-independent one.

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.

This paper introduces a dynamic causal inference framework that unifies multisensory perception with motor control, showing it can reproduce empirical findings and extend to complex tasks.

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

The paper tests a Bayesian model of arm posture perception using a VR task, finding that a Gaussian prior better explains individual biases than a uniform prior.

The paper investigates central tendency and serial dependence biases in vestibular path integration using a distance reproduction task in darkness, finding similar biases to those observed in visual path integration.

The paper shows that biases in hand perception arise from Bayesian integration of somatosensory signals, not from a distorted internal hand model.

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

This study investigates whether early-stage Alzheimer's disease affects the fast, declarative component of motor adaptation, finding that AD patients have reduced retention rates in this process while the slow, non-declarative process remains unaffected.

The paper shows that the brain uses trilateration to localize touch on tools, similar to how it works for limbs, and demonstrates this with behavioral and computational models.

This study shows that posterior parietal cortex dynamically updates spatial codes to transform tactile input into motor output based on movement goals.

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 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 determines the sensory horizon for human haptic perception, finding it extends to six meters using a rod, demonstrating the brain's adaptability in sensorimotor representations.

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

The paper shows that a Gaussian prior better explains perceptual observations in spatial orientation than non-Gaussian priors, despite natural head motion having non-Gaussian statistics.

This study shows that repeating well-practiced movements reduces movement variability and improves precision, even in short sequences of reaching tasks.

The paper proposes a neural network model that uses multilateration to decode touch location on the body, showing it matches psychophysical experiments.

The paper investigates how beta-band power in the brain reflects uncertainty about hand selection during motor planning using EEG recordings in humans.

The paper investigates how different perturbation schedules during initial training affect error sensitivity in visuomotor adaptation, finding that all schedules similarly modulate sensitivity.

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

The paper shows that humans construct the external location of touch after determining which hand was stimulated, not automatically upon stimulus occurrence.