Philippe Lefèvre

This study uses a biomechanical model to show that collagen anisotropy is essential for accurately simulating fingertip strain patterns during normal loading.

The paper quantifies fingertip skin deformation under tangential loading using 3D imaging, showing most deformation occurs in out-of-contact regions and exhibits directional asymmetry and wrinkling.

This paper develops a 3-D DIC setup to study fingertip deformation during contact initiation, revealing rapid skin deformation and friction's role in partial slip.

The paper investigates how flexible control and motor adaptation interact during movement, finding that concurrent perturbations reduce target redundancy exploitation and motor adaptation.

The paper analyzes luminance-evoked pupil dynamics in young adults, identifying nonlinear relationships and a conserved 'main sequence' between peak diameter change and velocity.

This study investigates how retinal acceleration error influences catch-up saccade timing and amplitude during tracking of accelerating targets.

The paper introduces a new device to image finger pad skin deformation during manipulation and reports low correlations between skin strain and grip force adaptation across participants.

The paper shows that gravity affects the perception of tangential forces during manual tasks, creating a haptic illusion where downward forces are overestimated compared to upward forces.

This study investigates interlimb differences in reaching movement adaptation, finding greater adaptation in the dominant arm and a more robust, model-free control strategy in the non-dominant arm.

The paper develops a model that continuously monitors cost-to-go during reaching movements to enable online control adjustments and decision-making in response to perturbations.

This study investigates how finger pad skin deforms under torsional forces during partial slippage, revealing how normal force and angular velocity affect strain and slip patterns.

This study investigates how humans can form and separate multiple motor memories during reaching tasks with force cues, showing that direction-based cues enable dual adaptation but magnitude-based cues lead to interference.

This study investigates how humans adjust their reaching control in response to dynamic changes in target width, showing continuous online tuning of task parameters rather than discrete policy switches.

This study investigates how target reward influences feedback control during motor tasks, finding increased feedback gains and changes in movement flexibility based on reward context.

The paper develops a device to measure fingerpad skin deformations during active object manipulation and shows that grip force influences skin strains and strain rates.

The paper investigates savings in human force field learning, finding that feedback adaptation accelerates relearning without explicit strategy.

The paper shows humans adapt grip force to friction changes within 370ms by using skin deformation patterns detected by mechanoreceptive afferents.

This study shows that human reaching movements adjust control strategies online in response to changes in task goals or environmental constraints within ~150 ms.

The paper introduces a predictive probabilistic model explaining saccade decisions during pursuit by estimating position error confidence through Bayesian inference and Kalman filtering.

This study shows that humans can adapt to unpredictable force fields within 250ms, with feedback responses finely tuned to ongoing perturbations.

The paper shows that humans adapt to unexpected force field disturbances during reaching movements, with within-movement feedback corrections improving and inducing after-effects, suggesting a fast time-scale of motor learning.

The paper investigates depth motion perception errors by testing how participants interpret retinal motion with varying gaze angles, finding systematic underestimation of version and overestimation of vergence.

The paper demonstrates that smooth pursuit eye velocity and catch-up saccade amplitude are modulated by the reliability of visual and prior information in a smooth pursuit task.

The paper shows participants adjust grip force based on expected gravity changes, using a combination of anticipation, safety factors, and feedback mechanisms.

The paper investigates how stochastic sensorimotor reference frame transformations affect perceptual decisions by measuring reaction time and accuracy during head and stimulus rotations.

The paper shows that overlapping movement planning and execution reduces reaction time by up to 100ms in a virtual line bisection task.