David W. Franklin

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

The paper demonstrates that biomimetic movement cues improve predictive control in robot-human object handovers by adapting grip forces based on object mass.

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

This study shows that visuomotor feedback responses to hand and target motion can be independently modulated based on task-relevance, indicating two separate feedback pathways.

This study introduces an automated muscle path modeling approach that optimizes paths to match anatomical and biomechanical constraints, producing realistic results efficiently.

This study shows that learning to ride a reversed bicycle disrupts predictive control and causes interference with normal bicycle riding, even after short-term exposure.

This paper introduces a gradient-specified optimization method to calibrate muscle paths based on desired moment arms, achieving fast and accurate replication of muscle paths from a shoulder-arm model.

The paper collects and visualizes 300 muscle moment arm datasets to explore hip, knee, and ankle moment arm-joint angle relations.

This study investigates how dwell time affects the contextual influence of visual and passive lead-in movements on motor learning, finding that visual cues lose effectiveness more quickly than passive cues as dwell time increases.

The paper meta-visualizes 985 joint moment datasets to explore hip, knee, and ankle moment-angle and moment-velocity relations in musculoskeletal mechanics.

This study examines long-term motor memory development through extended training, finding increased retention, spontaneous recovery, and narrowed generalization.

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

This study investigates how the timing of contextual movements affects motor memory formation and generalization in bimanual tasks, finding distinct temporal generalization patterns based on the timing of contextual cues.

The paper shows humans intuitively exploit nonlinear dynamics of compliant systems in periodic tasks by matching system eigenfrequencies with minimal control effort.

This study shows reward enhances both implicit and explicit components of dual force field adaptation, with distinct effects on learning rates and timescales.

This study investigates how motor memory encoding in bimanual movements depends on the clarity of the relationship between limbs, showing differences in memory formation and generalization based on training conditions.

The paper compares goal-directed modulation of stretch reflex gains between dominant and non-dominant upper limbs, finding weaker tuning in the non-dominant limb.

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

The paper investigates how preparatory modulation of stretch reflex gains is influenced by target direction, preparation duration, and assistive loading during goal-directed reaching.

This study tests if context-dependent switching of feedback controllers occurs in human motor control through experimental and computational analysis of visuomotor responses in two tasks.

The paper investigates how direct and indirect sensory cues influence dual-adaptation learning, finding that visual workspace location cues enable implicit adaptation while color cues rely on explicit strategies.

This paper investigates motor memory formation by testing dual-rate models of adaptation and finds that a two-fast-triple-rate model better explains dual-adaptation in humans.

The paper shows that optimal control of visuomotor feedback responses can be simplified to a time-to-target dependent scheme, validated through experiments and models.

The paper investigates kinematic generalization in motor memory formation using visual and passive lead-in movements, finding asymmetric transfer and differences in sensitivity to movement parameters.