Motor Control and Adaptation

Risk optimization during ongoing movement: Insights from movement and gaze behavior in throwing

The paper investigates how humans adjust their throwing behavior under risk by analyzing gaze and impact locations, finding that risk evaluation continues during movement execution.

Visual blur disrupts the kinematic and temporal aspects of reach-grasp-lift movements.

This study examines how visual blur affects reach-to-grasp movements, finding changes in kinematic and temporal aspects under different visual conditions.

Hierarchy between forelimb premotor and primary motor cortices and its manifestation in their firing patterns

The paper investigates motor cortical hierarchy in mice by analyzing firing patterns during reaching, finding asymmetric influence but shared predictive activity between premotor and primary motor cortices.

Deep-learning models of the ascending proprioceptive pathway are subject to illusions

The paper shows that deep-learning models of proprioception can be fooled by simulated muscle-tendon vibrations, producing illusions similar to those observed in humans.

The Cortical Output System that Controls a Single Vibrissa Muscle

The paper identifies cortical areas controlling a single rat vibrissa muscle, revealing non-primary motor and somatosensory regions play significant roles in motor output.

Action intentions reactivate representations of task-relevant cognitive cues

The paper shows that newly learned colour-weight contingencies are reactivated early during grasp planning, suggesting deliberate processing of weight information based on intention.

Interference underlies attenuation upon relearning in sensorimotor adaptation

The paper investigates how interference during a washout period affects sensorimotor adaptation upon relearning, finding that interference from a different action-outcome contingency reduces implicit adaptation.

Distributed learning across fast and slow neural systems supports efficient motor adaptation

The paper proposes a distributed learning model that explains how fast and slow neural systems coordinate during motor adaptation.

Emergent Leadership Driven by Asymmetric Stability Shapes Learning in Dyadic Motor Coordination

This study shows that leadership in dyadic motor coordination emerges from asymmetric stability, influencing learning through dynamic role transitions and individual stability patterns.

Modulation of error sensitivity during motor learning across time, space and environment variability

The paper investigates how error sensitivity changes during motor learning in different environmental conditions and finds it decreases in unstable environments and increases within stable ones.

Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex

The paper shows that neural activity in human premotor cortex combines finger movements through pseudo-linear summation, with deviations that improve decoding performance.

Neurophysiological evidence of sensory prediction errors driving speech sensorimotor adaptation

This study shows that sensory prediction errors, measured as reduced speaking-induced suppression in auditory cortex, drive speech sensorimotor adaptation during altered auditory feedback.

A vector calculus for neural computation in the cerebellum

The paper tests null space theory in marmoset cerebellum by showing Purkinje cell spikes cancel when perpendicular to movement, using spike-triggered averaging and population activity analysis.

Corticothalamic Neurons in Motor Cortex Have a Permissive Role in Motor Execution

The paper identifies corticothalamic neurons in the motor cortex as having a permissive role in motor execution by suppressing inhibition of corticospinal neurons during movement.

Somato-Motor Network Neural Connectivity Correlates with Visuomotor Adaptation

This study finds that specific neural connectivity patterns in somato-motor networks correlate with individual differences in visuomotor adaptation performance.

The Human Insula Encodes Somatotopic Representation of Motor Execution with an Effector-Specific Connectomic Map to Primary Motor Cortex

The paper maps motor execution representation in the human insula, showing somatotopic organization and effector-specific connectivity to primary motor cortex.

Flexible sensitivity to inputs during skilled tongue movements

The paper shows how mice adjust motor execution sensitivity to external inputs based on sensorimotor context using optogenetic stimulation and neural activity analysis.

Energy and time trade-offs explain everyday human reaching movements

This paper introduces an Energy-Time trade-off model to explain the smoothness, speed, and individuality of human reaching movements, showing it outperforms previous models.

Frontal midline theta power accounts for inter-individual differences in motor learning ability

This study finds that frontal midline theta power correlates with individual differences in motor learning proficiency, while theta phase consistency does not.

Does Precision Grip Research Extend to Unconstrained, Multidigit Grasping?

This study investigates whether findings from precision grip research apply to unconstrained, multidigit grasping by comparing participant grasp strategies with and without constraints.

Mapping the Neural Control of Force and Impedance of Wrist Movements Using Robotics and fMRI

This study uses fMRI and a robotic wrist task to identify neural networks involved in force and impedance control during movement, revealing the cortico-thalamic-cerebellar network's role in co-contraction.

Evidence that humans underestimate body mass in microgravity: kinematic signatures in reaching movements during spaceflight

The paper shows astronauts' reaching movements slow in microgravity due to underestimated body mass, not strategic slowing, with kinematic changes linked to sensorimotor adaptation.

High-intensity interval exercise affects explicit sequential motor consolidation with both physical and mental practice

This study shows that high-intensity interval exercise impairs explicit sequential motor consolidation despite increasing neuroplasticity markers like BDNF and lactate.

The role of effort in adaptation to split-belt locomotion

This study investigates whether task effort affects learning and adaptation in a split-belt walking task, finding no significant effect of effort on adaptation processes.

Changes in Motor Unit Activity of Co-activated Muscles During Dynamic Force Field Adaptation

The paper examines changes in motor unit activity during motor adaptation in dynamic environments, finding that reduced co-contraction is driven by increased agonist MU amplitude rather than firing rate changes.

Correlates of head-fixed orienting movements in mouse superior colliculus and substantia nigra pars reticulata

The paper examines neural activity in the superior colliculus and substantia nigra pars reticulata during head-fixed orienting movements in mice, finding that SNr activity reflects previous trial outcomes while dSC activity shows weaker directional dependence.

Neural Geometry from Mixed Sensorimotor Selectivity for Predictive Sensorimotor Control

The paper investigates how target motion influences motor cortex activity during predictive sensorimotor control using neural recordings and computational models.

Task demands shift motor learning from adaptation to feedback control in an unconstrained bimanual task

This study shows that task demands shift motor learning from adaptation to feedback control in bimanual tasks, with precision demands and interlimb conflict influencing learning strategies.

Sounds and Sights in Sequence Learning: Can Accessory Auditory Cues Enhance Motor Task Performance?

This study shows that combining auditory and visual stimuli enhances motor sequence learning compared to visual-only conditions, with informative auditory cues improving learning outcomes.

Evidence for an efferent-based prediction contributing to implicit motor adaptation

This study shows that implicit motor adaptation can occur without afferent proprioceptive feedback, suggesting efferent-based predictions play a key role.