Motor Control and Adaptation

This study investigates how intentional suppression of kinematic performance affects the use of implicit and explicit memories in sensorimotor adaptation to unpredictable spring-like loads.

This study tracks motor variability in infants from birth to walking onset, showing how variability arises from a small number of motor primitives early on and becomes more regular as more primitives develop.

The paper uses fMRI to compare neural activation patterns during isolated prehension and prehension for object manipulation, finding distinct patterns involving visual and sensorimotor areas.

The paper shows that sensory prediction errors drive implicit motor learning in complex whole-body tasks, replicating lab findings in a real-world ball-rolling task.

This study demonstrates that humans engage in reinforcement meta-learning to optimize visuomotor learning by adjusting their willingness to learn based on reward outcomes.

This study investigates how task success affects implicit motor adaptation through two manipulations: target size and target location, finding that target jumps have a more reliable effect.

This study shows that a cortex-independent internal model in the red nucleus can control voluntary orofacial motor actions without requiring peripheral feedback or motor cortex.

This study shows that invariant neural dynamics guide movement commands across different movements using a brain-machine interface in rhesus macaques.

The paper shows that invigoration of action selection and action execution are linked, with changes in one affecting the other.

This study models how confidence judgments during visuomotor learning integrate recent error history and environmental volatility.

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

This study shows that reach corrections toward moving objects are faster than toward jumping targets, suggesting that continuous motion cues improve motor adaptation.

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.

The paper investigates how humans use prospective and retrospective cues to judge sensorimotor confidence, finding that some participants use both while others rely only on prior information.

MotorNet is a Python toolbox that enables training artificial neural networks on differentiable biomechanical effectors for motor control tasks.

The paper investigates how the motor system adapts to visual perturbations in a redundant motor task involving a virtual stick manipulated with both hands, revealing that baseline relationships guide implicit adaptation.

The paper analyzes hand movement patterns during everyday tasks to identify recurring hand configurations and their temporal transitions.

This study shows that subsensory electrical stimulation of muscle afferents speeds up but reduces the extent of gait adaptation to haptic perturbations.

This study shows that pupil dilation correlates with movement distance during executed reaching but not during imagined reaching, suggesting different cognitive processes underlie each.

This study uses fMRI to investigate brain activity during bimanual pinch force tasks, finding increased activation and coupling in premotor and motor areas during asymmetric force control.

This study examines marmoset reach-to-grasp movements for dynamic prey, finding very short visuo-motor delays and visual prediction compensating for these delays during fast reaching.

The paper uses synthetic data to compare two tasks in proprioception modeling, finding that action recognition better explains neural tuning properties than trajectory decoding.

The paper investigates whether cortically-evoked movement biases reflect past execution or planning, finding that execution history affects physiological biases but not planned movements.

This study uses rabies virus tracing to map motor cortical projections to hindlimb muscles in mice, revealing specific cortical areas involved in controlling fast- and slow-twitch muscles.

The paper investigates whether motor adaptation in one arm can be facilitated by prior movement of the other arm in bimanual sequences, finding that active participation in the sequence supports adaptation.

This study shows that both perceptual estimates and grasping actions follow Weber's law, contradicting the idea of a perception-action dissociation in size uncertainty.

The paper shows the cerebellum performs multi-dimensional computations for flexible movement control by analyzing neural activity in monkeys during a saccade task.

This paper introduces a reliable and efficient Bayesian method to assess static lower limb position sense using an adaptive algorithm and dual-belt treadmill.

This study shows that smooth pursuit eye movements contribute to anticipatory hand force control when interacting with moving objects.

This study shows that stepped gradual introduction of a visuomotor perturbation enhances implicit motor learning more than ramped introduction.