Motor Control and Adaptation

AngoraPy enables training of complex recurrent convolutional neural networks for sensorimotor systems, facilitating goal-driven modeling in computational neuroscience.

This study shows archerfish adapt to airflow perturbations by adjusting their shooting behavior, indicating motor adaptation in a egocentric frame of reference.

The paper proposes a divisive normalization mechanism to explain how the motor system processes uncertain visual feedback during visuomotor learning.

The paper introduces a new device to image finger pad skin deformation during manipulation and reports low correlations between skin strain and grip force adaptation across participants.

This study investigates how motor memory encoding in bimanual movements depends on the clarity of the relationship between limbs, showing differences in memory formation and generalization based on training conditions.

This study investigates active perceptual learning through haptic training, finding that it involves motor exploration and adaptation of sensory integration, improving feedback control of movements.

This paper studies chase and escape dynamics by developing a visuomotor task to analyze how participants adjust their strategies based on target speed and directional uncertainty.

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.

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

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

The paper introduces an automated system for training and assessing string-pulling behaviors in rodents, showing improved performance and integration with neural recording.

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.

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

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.

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.

The paper analyzes mouse string-pulling behavior and finds that increased task difficulty slows performance and engages multiple sensorimotor modalities, aligning with Fitts's Law.

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.

The paper introduces a new operant task for mice to study motor learning and flexibility, showing valproate-treated mice exhibit paradoxical performance advantages due to stereotypic behavior.

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

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.

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.

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.

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

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

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.

This study investigates how the sensorimotor striatum contributes to automatic and visually-guided motor sequences in rats, finding that it is essential for automatic skills but not sensory-guided sequences.

This study investigates neural changes during the learning of finger press sequences, finding reduced brain activity in secondary motor areas correlates with learning.

This paper infers control objectives from behavior in humans and monkeys using a generative model and behavioral signatures, validated through instructed tasks.

The paper integrates eye tracking, motion capture, and photogrammetry to show that walkers use terrain structure to select paths, avoiding steep steps and planning flatter routes.