Motor Control and Adaptation

The paper identifies behavioral and neural signs preceding movement failure in a reaching task, showing that reduced movement velocity and specific EEG activity occur before failures.

The paper investigates neural pathways for error-based and reinforcement motor learning using fMRI, finding distinct and shared architectures related to performance.

The paper identifies two internal states that influence movement variability and shows they are encoded by large-scale brain networks in humans.

This study investigates how balance control changes during locomotor adaptation to split-belt treadmill asymmetry, finding that external stabilization reduces initial deviations but not long-term adaptation.

The paper investigates cortico-muscular coupling during steady muscle force maintenance, finding temporally stable beta oscillations and their behavioral relevance.

This study investigates how synergies are recruited during gait pattern exploration using motor control-based biofeedback, finding that synergy complexity decreases for most patterns, with distal mechanics predicting these changes.

The paper identifies a new power law linking hand rotation speed to orientation geometry in teleoperated surgical tasks, showing robustness across training and task repetitions.

This study investigates how motor skill acquisition evolves with practice, identifying memory storage and execution optimization as key factors, and shows that noninvasive brain stimulation can improve motor learning in older adults.

The paper shows that a phase-locked loop model replicates human elliptical hand movements and the speed-curvature power law across different rhythms.

This paper shows that motor learning can occur without actual movement by demonstrating implicit adaptation based on planned movements and simulated sensory feedback.

This paper proposes a proprioceptive re-alignment model to explain implicit sensorimotor adaptation, challenging the traditional visuo-centric view by focusing on minimizing proprioceptive error.

The paper investigates conditions under which explicit visuomotor learning can be suppressed, finding that gradual introduction, speed pressure, and visual feedback are necessary for explicit learning to occur.

This study shows that a single exposure to altered auditory feedback leads to immediate sensorimotor adaptation in speech, supporting theories of direct internal model updates.

The paper identifies a dual-state parallel system in visuomotor adaptation that better explains behavioral data than a single Kalman filter model.

This study shows that the spatial organization of spinal motoneuron pools reflects the functional relationships between muscles they innervate, supporting neuromechanical tuning for upper limb movements.

The paper investigates how motor cortex activity patterns enable parallel movement planning in non-human primates and finds that preparatory activity adjusts within an optimal subspace to balance multiple movements.

This study investigates neuronal dynamics in non-human primates during motor plan cancellation, finding that inhibition and position holding involve confined neuronal activity in a subspace, while movement execution requires transitioning to an orthogonal subspace.

The paper investigates how spatial information affects the manual motor system using grip force measurements, finding that different stimulus types elicit varying temporal and directional responses.

This paper links oculomotor plant dynamics to neural integrator activity in larval zebrafish, showing that gaze stabilization requires integration across multiple distributed timescales.

The paper shows participants can quickly adjust force scaling for object lifting based on sensory cues about object properties, integrating visual and haptic information.

The paper shows that whisker asymmetry predicts turn direction in mice earlier than eye movement during navigation tasks.

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.

The paper investigates the role of cortico-subthalamic projections in controlling visually-guided locomotion in mice, finding that M2-STN pathway activity is critical for stopping behavior.

This study assesses human expertise in first-person shooter games by analyzing motor acuity and kinematics in professional players during target-shooting tasks.

This paper develops a noncontact sensing system to measure piano key motions with high precision and identifies key motion characteristics linked to pianists' performance speed and accuracy.

The paper shows that using angular speed instead of tangential speed in the speed-curvature power law leads to stronger correlations and misinterpretation of the law's validity.

This study investigates how motor adaptation varies across three-dimensional movement planes and identifies Kalman gain as a factor explaining adaptation rate differences.

This paper introduces an approximate stochastic optimal control framework that simulates nonlinear neuromusculoskeletal models with noise, showing how muscle coordination and movement patterns emerge from dynamic interactions.

The paper investigates how dexterity in finger flexion and extension movements generalizes across tasks and hands, finding asymmetric and history-dependent control patterns.

This study compares prehension kinematics between humans and rhesus macaques, finding overall similarity with subtle differences in posture specificity and joint coordination.