Motor Control and Adaptation

The paper investigates how energy resources are shared between decision-making and motor actions during a perceptual decision task with increasing motor difficulty.

The paper characterizes spatiotemporal muscle activation patterns in rat forelimbs during asymmetric stepping, finding stereotypical and lateralized patterns similar to those in cats.

The paper investigates how individual subjective values influence movement planning in a vertical plane task, finding that energy minimization is not the sole factor guiding motor behavior.

The paper shows that nonlinear decoders better predict limb movements in rat M1 at P12 compared to P8, indicating a shift to more complex and individualized sensory representations with continuous cortical activity.

This study investigates how sensory context affects the ability of monkeys to volitionally modulate single neurons in the motor cortex during a cursor control task.

This paper investigates the functional interactions between premotor and motor cortical areas in rats during goal-directed behavior, revealing differential roles of neuronal subpopulations in movement preparation and execution.

This study investigates the role of proprioception in implicit sensorimotor adaptation and perceived movement outcome by examining individuals lacking proprioception, finding minimal impact on adaptation and perceived outcome.

This study uses a large dataset from a citizen science project to analyze predictors of sensorimotor adaptation and identifies novel constraints in implicit and explicit learning processes.

This study shows early changes in glutamate and GABA in the motor cortex after motor learning support memory consolidation and plasticity over time.

This study shows that the spatial organization of motor cortex encoding changes dynamically during movement, with stable topographic maps near movement onset.

This study investigates how the hippocampus represents temporal order in motor sequences using fMRI, finding that it binds movements to their temporal position, unlike other motor regions.

This study investigates neural control signals during reaching by isolating express and voluntary responses, revealing alternating excitation and inhibition in muscle activity and corticospinal excitability.

The paper investigates the origin of rapid corticospinal excitability changes during visually guided reaching and finds subcortical, not cortical, modulation of motor evoked potentials.

This study uses HD-tDCS to show that mIPS and PMd differentially contribute to reach planning, with PMd integrating movement vectors earlier than mIPS.

The paper identifies a motor association area in the central sulcus that interrupts the topological map of body movements generated by the precentral gyrus.

The paper develops a model that continuously monitors cost-to-go during reaching movements to enable online control adjustments and decision-making in response to perturbations.

The paper separates behaviorally-relevant from irrelevant neural signals in motor cortex, revealing complex encoding and simple linear decoding mechanisms.

The paper shows humans can quickly adapt motor patterns to different gravity conditions using a robotic exoskeleton.

This study compares modular control of walking between toddlers and adults, finding that adults use fewer, more consistent modules while toddlers require more modules to handle stride variability.

This review assesses the accuracy of self-evaluation of upper-extremity motor performance compared to objective measures, finding moderate correlation and factors influencing accuracy.

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

This paper uses mathematical analysis and simulations to show that cerebellar architecture, specifically size expansions, helps overcome challenges in online learning of dynamic tasks by enabling dense granule cell activity.

This study shows that evening training leads to better skill consolidation compared to morning or afternoon training, with sleep contributing to this effect.

The paper compares reward and movement signal coding in the basal ganglia and cerebellum using neural recordings from monkeys, finding stronger signals in the basal ganglia output structure.

The paper evaluates how perturbation variance affects implicit error sensitivity in learning, finding that it reduces sensitivity while accounting for error size, contradicting an alternative view.

This study investigates how scan length affects motor cortex activation during upper limb movements in fMRI, finding diminishing returns with more runs and proposing variable run assignments for different movements.

The paper identifies distinct functional and anatomical roles of motor cortex projections to the red nucleus and pons in mice, showing differential contributions to motor performance.

This paper introduces a Model Predictive Control strategy that regulates both movement and interaction control, demonstrating its ability to produce human-like movements and handle nonlinear dynamics.