Motor Control and Adaptation

The paper shows humans integrate sensorimotor variability, Newtonian physics, and risk decision-making to optimize rewards in a virtual puck-sliding task.

This study investigates how perception of visuomotor delay changes depends on baseline delay, finding that larger delays lead to more accurate and faster detection of changes, contradicting Weber-Fechner Laws.

The paper investigates how spinal pathways and supraspinal commands modulate upper limb control in different gravity conditions using neuromusculoskeletal simulations.

The paper shows that stimulating specific M1 neurons in mice can induce learned movements and activity patterns, supporting M1's active role in motor learning.

This study shows that VTA dopaminergic inputs to M1 are essential for reorganizing layer 2-3 network dynamics during motor learning.

This study shows baclofen, a GABAB receptor agonist, impairs motor learning and reduces expected decreases in GABA levels during motor learning.

This study uses simultaneous brain-spinal cord fMRI to map neural activity related to hand strength and dexterity, revealing graded activation and inhibition patterns across motor and sensory regions.

The paper shows that failed stopping of a movement causes transient inhibition in task-irrelevant muscles, measured via EMG, lasting 150-203 ms after a stop signal.

This study examines how uni- and bidirectional haptic interactions affect motor performance and muscle activation during wrist and ankle tracking tasks, finding mutual benefits in bidirectional interaction across limbs.

This study examines how gravity affects hand movement kinematics during functional tasks, finding significant differences in movement planning, smoothness, efficiency, and accuracy when movements are against or with gravity.

The paper investigates motor decision-making under uncertainty and time pressure, finding that reaching dynamics reflect only the selected action, not an average of alternatives.

The paper records neuronal activity in monkeys' dorsal premotor cortex during a path-planning task, finding diverse neurons involved in different levels of action preparation.

The paper examines how movement variability is encoded in the motor cortex of mice over multiple days, finding that most neurons maintain stable encoding despite small declines in similarity over time.

This study investigates neural dynamics in motor cortex and striatum across diverse motor behaviors in mice, finding a hierarchical organization that applies to both regions despite differences in behavior specificity and muscle activity correlation.

This study quantifies hierarchical muscle interactions' contributions to motor function using Partial Information Decomposition, revealing networks linked to balance and motor variability.

The paper shows that motor responses are systematically updated by decision evidence accumulation, using rat and human data in a choice task.

The paper develops a topographic autoencoder to model proprioceptive cortical coding and predicts neural manifold structures from natural movement data.

This study uses MEG to identify posture coding and intrinsic movement plans in parietofrontal cortex during wrist pointing tasks, revealing distinct but overlapping networks for intrinsic and extrinsic motor codes.

This study shows that altering perceived variability can modulate neural sensitivity to auditory errors during speech production, supporting error-based learning mechanisms.

This study investigates whether adjusting control policies to task demands occurs during motor planning or execution and finds that it can happen during both phases.

This study shows that Parkinson's disease preserves the speed and strength of a reflexive visuomotor response but impairs its contextual modulation, suggesting distinct motor pathways are affected.

The paper investigates serial dependence in oculomotor tracking, finding retinotopic and direction-tuned components of serial dependence.

The paper shows that muscle co-contraction increases with environmental uncertainty to stabilize motor control when feedback is insufficient.

The paper evaluates three sensorimotor delay compensation mechanisms in balance control, finding that a convolution predictor is effective while gain scaling is insufficient and the Smith predictor is implausible.

This study examines how context-dependent predictability affects eye and hand coordination during a rapid interception task, finding differential modulation of reaction times and vigor based on certainty and urgency.

This study uses fMRI and Bayesian modeling to show that direction and distance in motor planning are encoded independently in different reference frames across the dorsomedial reach pathway.

The paper investigates how time affects two distinct components of sensorimotor adaptation: a flexible error-driven component and a less-flexible error-driven component, finding that time alters both.

The paper investigates how cortical areas contribute to pre-planning and online planning of movement sequences using fMRI in humans.

This study investigates how urgency and evidence accumulation affect multisensory integration during reaching, showing that visual feedback contributions vary with uncertainty and movement speed.

The paper shows that humans adjust perceptual decision times based on movement difficulty and motor cost, with greater impact on difficult decisions.