Motor Control and Adaptation

The paper investigates how sensory context of initiation cues affects neural representations of goal-relevant features during movement tasks.

The paper investigates how random practice schedules affect neural efficiency in perceptual and attentional processes using high-density EEG analyses.

The paper investigates how movement and reward expectancy modulate neural activity in different primate cortical areas during a conditioning task.

This study compares motor sequence learning performance between caffeine consumers and non-consumers, finding faster response times in the caffeine group.

This study investigates whether bidirectional walking on a split-belt treadmill induces short-term gait adaptations, finding unilateral aftereffects in step length.

The paper demonstrates that the eyeblink system can learn rapidly and flexibly, challenging previous views of implicit learning as slow and inflexible.

This study shows that neural tuning shifts during sensorimotor learning alter learning ability in a spatial pattern predicted by computational models.

This study uses kernel-based analysis to show context-dependent deterministic processes and consistent noise in steering behavior across species and tasks.

This study investigates how Purkinje cells in the cerebellum control tongue movements in marmosets by suppressing their activity during specific phases of movement.

This study examines the developmental trajectory of motor learning in mice, finding peak plasticity between P30-P60 and a shift from hopping to walking gait.

The paper explains interindividual differences in motor learning by proposing a computational model with generalist and specialist memory modules that adapt based on training schedules.

The paper tests Weber's law in a two-finger pointing task and finds that the standard deviation of inter-finger separation increases with target distance, supporting Weber's law in action.

This study uses unsupervised machine learning to identify age-independent motor control patterns in whole-body reaching movements of young and older adults.

This study shows that ablating cerebellar output neurons has less impact on behavior than genetic mutations in these neurons, which cause additional deficits in learning and memory.

This study shows that motor training improves cortico-cerebellar connectivity in cerebellar ataxia patients, with specific effects depending on the type of feedback used during training.

This study investigates how aging affects explicit and implicit sensorimotor learning through meta-analysis and controlled experiments, finding dissociated impairments and enhancements in these processes.

This study investigates how task load affects motor learning through longitudinal fNIRS analysis, finding load-independent control strategies and load-dependent cortical activation changes.

The paper investigates the roles of the frontal cortex and striatum in motor timing by using perturbation experiments in mice, showing that the striatum integrates cortical input to regulate timing.

The paper identifies layer Va neurons as major presynaptic partners of corticospinal neurons and shows their critical role in skilled movements.

This study compares how symbolic and sensory feedback affect motor adaptation, finding that symbolic feedback leads to slower and more explicit learning.

The paper shows that respiratory exchange ratio (RER) correlates with long-term motor memory retention and that glucose intake improves 24-hour retention.

The paper proposes that command timing volatility explains movement variability in skilled actions and links it to handedness and motor impairments.

The paper investigates whether hand-held tools can be mapped in space with the same precision as body parts and whether tool use alters these spatial maps.

This study examines how grip type and force are represented in primate motor cortex during a grasping task, finding that grip type is more robustly encoded than force.

This study investigates how target predictability influences predictive and prospective interception strategies in a visuomotor task, finding that decreased variability promotes predictive strategies while increased variability shifts toward prospective strategies.

The paper demonstrates that increased spinal reflex responses to loads reduce motor cortex activity, using a neural network model to show how lower-level feedback influences goal-directed motor corrections.

This study investigates whether increasing visual errors or variability in remote web-based motor tasks enhances motor learning, finding no positive effects from these interventions.

This study investigates metacognitive access to sensorimotor signals in a force task and finds that internal attention focus reduces force variability.

This study uses TMS in force and angle tasks to test whether corticospinal excitability reflects a motor command or a proprioceptive prediction, finding support for optimal control theory.

This study investigates how bimanual coordination is learned and generalized through unimanual practice, showing that visual feedback is critical for transferring skills to bimanual tasks.