Motor Control and Adaptation

This study investigates contextual interference in motor learning by comparing blocked and random practice schedules, finding that random practice improves retention but not accuracy.

This study shows that blocking the anterior corpus callosum in rats reduces symmetric bimanual movements during food handling and increases asymmetric movements, suggesting its role in coordinating bimanual actions.

This study shows that older adults and those facing perturbations produce more stable muscle control signals during locomotion, enhancing robustness in challenging conditions.

The paper investigates how the choice of contact points during grasping affects sensorimotor cortical interactions, showing that M1 modulates digit forces based on position in unconstrained grasping.

This study examines cerebellar involvement in reward-based motor learning by comparing patients with focal lesions to controls in a cart-pole balancing task.

The paper shows that primary motor cortex neurons respond independently to contralateral and ipsilateral arm movements, with distinct response magnitudes and timing, and that these responses are segregated into orthogonal subspaces.

This paper introduces StretchfMRI, a technique to measure reticular formation function via fMRI by analyzing long-latency responses to robotic perturbations.

The paper investigates whether non-invasive methods can assess reticulospinal excitability by modulating rapid visual responses during reaching tasks using multimodal stimuli.

The paper investigates how visual and auditory feedback influence motor learning and adaptation, finding that visual feedback leads to higher adaptation than auditory feedback, with transfer occurring through a memory of the learned reaching direction.

The paper investigates whether motor cortex activity during skilled movement is driven by local dynamics or external inputs, finding that external inputs are required throughout the movement.

This paper introduces a computational model of motor adaptation that explains individual differences in how the brain updates or creates memories during learning.

This study finds that ADHD individuals show improved motor learning and performance with task-irrelevant vibratory noise, contrasting with typical adults who experience reduced gains.

This study uses fMRI and behavioral paradigms to identify distinct motor sequence representations in human neocortex, revealing differences between primary and non-primary motor areas.

This study uses fMRI to investigate effector-specific cortical mechanisms for saccades and reaches, revealing distinct but temporally correlated networks for eye and hand movements.

This paper describes a low-cost automated system for assessing distal forelimb function in non-human primates, compatible with electrophysiological studies.

This paper proposes a computational framework for cerebellar learning using perturbations and validates it with in vitro experiments, contradicting the current consensus on synaptic plasticity.

The paper investigates age-related decline in motor adaptation, finding that explicit memory performance and associated brain regions become stronger predictors of motor learning in older adults.

The paper uses magnetoencephalography and Hidden Markov Modelling to detect changes in {beta}-activity during motor learning, showing its relevance across different motor tasks.

This study shows that the lateral posterior cerebellum contributes to perceptual decision-making by encoding choice and evidence-related variables, with dendritic calcium spikes linked to decision errors.

The paper shows that inactivating motor cortex in mice reduces the speed of kinematic primitives during a reach task without affecting their direction or complexity.

The paper investigates how human motor coordination strategies change with metabolic state, finding that fasting reduces task-related energy expenditure by 20%.

The paper shows that Purkinje cells in the mid-lateral cerebellum change their activity when monkeys learn new visuomotor associations, despite unchanged movement kinematics.

The paper analyzes movement control in the basal ganglia of monkeys using general tau theory, identifying roles of GP, STN, and ZI in processing neuropower relative-rate-of-change for movement execution.

The paper records spinal neuron activity in monkeys during voluntary wrist movements and finds two distinct groups with different firing patterns and input-output control, suggesting coordinated proprioceptive representation.

This study uses fMRI to investigate brain activity during the generation of new hierarchical levels in motor sequences, finding that it activates a motor planning network without involving lateral prefrontal cortex.

This study investigates how distributing mechanical effort between fingers affects motor performance in a visuomotor tracking task, finding that higher effort from dominant fingers improves performance.

The paper proposes an intermittent control model that predicts triphasic muscle activity during hand reaching using unsupervised machine learning and one parameter.

This study investigates how reinforcement and explicit strategies interact during visuomotor adaptation, finding that strategy-use is critical for reinforcement-based learning.

The paper introduces a linear time-invariant state space model to explain human motor adaptation in a visuomotor rotation task.

The paper investigates how stochastic sensorimotor reference frame transformations affect perceptual decisions by measuring reaction time and accuracy during head and stimulus rotations.