Motor Control and Adaptation

Anticipatory smooth eye movements scale with the probability of visual motion: role of target speed and acceleration

This study shows anticipatory smooth eye movements scale with target speed and acceleration probability, indicating the brain uses internal models of motion kinematics for prediction.

Theoretical limits on the speed of learning inverse models explain the rate of adaptation in arm reaching tasks

The paper analyzes the speed of learning inverse models in motor tasks using theoretical and experimental approaches, finding that task geometry and target distribution influence learning speed.

Activity in the reticulospinal tract scales with handgrip force in humans

This study shows that reticulospinal tract activity scales with handgrip force in humans, unlike contralateral motor cortex.

Cortico-thalamic communication for action coordination in a skilled motor sequence

The paper identifies a corticothalamic channel in the motor cortex that coordinates skilled motor sequences by amplifying thalamic integration of sensorimotor inputs.

Eyeball translations affect saccadic eye movements beyond brainstem control

The paper investigates how eyeball translations during blinks affect saccadic eye movements, showing overshoots and transient retraction linked to mechanical properties.

Ventral premotor cortex influences spinal cord activation during force generation

Sensorimotor memories influence movement kinematics but not associated tactile processing

The paper investigates whether sensorimotor predictions influence grasping kinematics and tactile processing, finding that kinematics are affected but tactile suppression remains unchanged.

Dissociable causal roles of dorsolateral prefrontal cortex and primary motor cortex as a function of motor skill expertise

This study investigates how DLPFC and M1 contribute to motor skill learning across expertise levels using transcranial magnetic stimulation.

Neural activity is spatially clustered in motor and dorsal premotor cortex

The paper investigates the spatial mapping between motor zones and movement-related neural activity in M1 and PMd cortex, finding that activity maps overlap small portions of motor maps and suggest subzones tuned for specific actions.

Reinforcement-Based Processes Actively Regulate MotorExploration Along Redundant Solution Manifolds

This study shows that reinforcement-based processes actively regulate motor exploration along redundant solution manifolds, challenging the idea that such behavior is passive.

Distinct neural components of visually guided grasping during planning and execution

The paper investigates brain networks involved in visually guided grasping during planning and execution using fMRI, revealing distinct neural encoding of grasp axis, size, and object mass in different brain regions.

Differential kinematic coding in sensorimotor striatum across species-typical and learned behaviors reflects a difference in control

This study shows that the sensorimotor striatum is not essential for species-typical behaviors but plays a role in shaping skilled behaviors through distinct coding schemes.

Reinforcement motor learning after cerebellar damage is related to state estimation

This study investigates the relationship between state estimation and reinforcement learning in individuals with cerebellar degeneration, finding that active benefit predicts better learning in the cerebellar group.

Generalization of procedural motor sequence learning after a single practice trial

The paper shows that early motor skill learning generalizes rapidly to related skills when they share parsing rule structures, but not when they share only ordinal or transitional structures.

Distinct learning, retention, and generalization in de novo learning

The paper distinguishes de novo learning and motor adaptation, finding distinct retention and generalization patterns between the two learning types.

Afferents to Action: Cortical proprioceptive processing assessed with corticokinematic coherence specifically predicts gross motor skills

This study shows that corticokinematic coherence (CKC) specifically predicts gross motor skills better than traditional measures like coordination.

Rhythm Receptive Fields in Striatum of Mice Executing Complex Continuous Movement Sequences

The paper investigates rhythm receptive fields in the striatum of mice performing complex movements, finding neurons sensitive to movement rhythm parameters and highlighting their role in motor coordination.

The locus coeruleus directs sensory-motor reflex amplitude across environmental contexts

The paper shows that the locus coeruleus modulates motor correction strength in response to environmental changes through noradrenergic signaling.

Continuous motor skills as flexible control policies: a video game study

This study investigates how continuous motor skills are learned through a video game task, finding that performance generalizes at the kinematic level but not at the task success level, suggesting a flexible control policy rather than chunked action sequences.

The value of time in the invigoration of human movements when interacting with a robotic exoskeleton

This study investigates how time and effort tradeoff influences human movement vigor when interacting with a robotic exoskeleton, finding that time cost plays a pivotal role in determining movement vigor across a range of efforts.

Dissociable roles of thalamic nuclei in the refinement of reaches to spatial targets

This study identifies distinct roles of thalamic nuclei in the refinement of spatial reach movements in mice, showing that Pf nuclei control direction refinement while VAL nuclei influence speed and overshoot.

Human force control may trade-off force error with central tendency and recency biases

This study investigates how humans control force by examining trade-offs between error reduction and biases in force tracking tasks.

Trial-to-trial similarity and distinctness of muscle synergy activation coefficients increases during learning and with a higher level of movement proficiency

The paper examines how muscle synergy activation coefficients change with movement proficiency and learning, finding increased trial-to-trial similarity and distinctness.

Goal-directed modulation of stretch reflex gains is reduced in the non-dominant upper limb

The paper compares goal-directed modulation of stretch reflex gains between dominant and non-dominant upper limbs, finding weaker tuning in the non-dominant limb.

Motivation upregulates the adaptive response in sensorimotor learning

This study shows that motivation increases the rate of adaptive response in motor learning, enhancing the speed of learning.

Dynamics of motor direction representation in the primate premotor and primary motor cortices during sensorimotor learning

This study investigates how motor direction representation changes in primate premotor and primary motor cortices during learning, finding that PMdc neurons dynamically adjust their preferred direction while M1 neurons maintain stability.

Evidence for an Intricate Relationship Between Express Visuomotor Responses, Postural Control and Rapid Step Initiation in the Lower Limbs

This study investigates how express visuomotor responses (EVRs) in lower limbs interact with postural control during stepping, finding that EVRs are suppressed under high postural demands.

Motor adaptation does not differ when a perturbation is introduced abruptly or gradually

This study finds no difference in motor adaptation between abrupt and gradual visuomotor rotation perturbations across different age groups and cerebellar ataxia conditions.

Cerebellar climbing fibers convey behavioral information of multiplex modalities and form functional modules

The paper shows that cerebellar climbing fibers encode multiple behavioral variables and are organized into functional modules in mice.

Task-dependent optimal representations for cerebellarlearning

This study determines the optimal granule cell representation for cerebellar learning tasks beyond random stimulus discrimination, finding that dense representations are more optimal for continuous input-output transformations.