Motor Control and Adaptation

Does early-stage Alzheimer's disease affect the dynamics of motor adaptation?

This study investigates whether early-stage Alzheimer's disease affects the fast, declarative component of motor adaptation, finding that AD patients have reduced retention rates in this process while the slow, non-declarative process remains unaffected.

Erroneous compensation for long-latency feedback delays as origin of Essential Tremor

The paper investigates Essential Tremor by testing a hypothesis that impaired delay compensation in feedback control mechanisms causes the tremor, using experimental and computational methods.

Timing and Amplitude of Catch-up Saccades to Accelerating Targets

This study investigates how retinal acceleration error influences catch-up saccade timing and amplitude during tracking of accelerating targets.

Acquisition phase-specific contribution of climbing fiber transmission to cerebellum-dependent motor memory

This study investigates the role of climbing fiber transmission in different phases of motor memory formation and finds that it is critical for memory acquisition but not for consolidation or retrieval.

Closed-loop optogenetic perturbation of macaque oculomotor cerebellum: evidence for an internal saccade model

This study uses optogenetic stimulation to investigate cerebellar roles in saccade production, finding directional differences in how the oculomotor vermis contributes to forward and inverse models of eye movement.

Rapid Motor Adaptation via Population-level Modulation of Cerebellar Error Signals

The paper shows that Purkinje cells in the cerebellum use population-level modulation of complex spike activity to encode error magnitude and direction during motor adaptation.

Rapid acquisition of internal models of stimulus patterns by Purkinje cells enables faster behavioral responses

This study shows that Purkinje cells in larval zebrafish use expectation and error signals to update internal models of optic flow stimuli, leading to faster behavioral responses.

The spinal cord facilitates cerebellar upper limb motor learning and control; inputs from neuromusculoskeletal simulation

This study investigates how spinal cord dynamics influence cerebellar motor learning and control using computational models of the cerebellum and spinal cord integrated into a musculoskeletal control loop.

Dopamine increases accuracy and lengthens deliberation time in explicit motor skill learning.

This study shows that increasing dopamine availability improves aiming accuracy and extends deliberation time during explicit motor skill learning in humans.

Implicit adaptation is modulated by the relevance of feedback

This study investigates how the relevance of visual feedback affects implicit sensorimotor adaptation, finding that task-relevant feedback enhances aftereffects while distracting feedback reduces them.

Rule-based modulation of a sensorimotor transformation across cortical areas

The paper investigates how mice encode and use rule information in a sensory selection task, showing that preparatory activity in motor cortex reflects task rules and is necessary for rule-guided behavior.

Role of spinal sensorimotor circuits in triphasic command: a simulation approach using Goal Exploration Process

This paper models spinal sensorimotor circuits to show they can generate triphasic motor commands for arm movements without brain input, using a Goal Exploration Process to refine commands.

Corticocortical Connections of the Rostral Forelimb Area in Rats: A Quantitative Tract-Tracing Study

This study identifies corticocortical connections of the rostral forelimb area in rats, showing similarities to primate ventral premotor cortex connections.

AngoraPy: A Python Toolkit For Modelling Anthropomorphic Goal-Driven Sensorimotor Systems

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

Divisively normalized neuronal processing of uncertain visual feedback for visuomotor learning

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

The role of kinesthetic and visuospatial cues in pain-induced movement avoidance

This study investigates the role of kinesthetic and visuospatial cues in pain-induced movement avoidance by separating these cues in experimental contexts.

Action history and target uncertainty co-determine human reaching direction under time pressure

This study shows that under time pressure, humans rely more on prior target location information when sensory target precision is low, suggesting Bayesian integration of uncertainty in sensorimotor control.

Open-source instrumented object to study dexterous object manipulation

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.

Enhanced neural representation of reach target direction for high reward magnitude but not high target probability.

The paper investigates how reward magnitude and target probability influence sensorimotor processing by decoding movement direction from EEG data, finding that reward magnitude enhances spatial precision of neural representations.

A software tool for at-home measurement of sensorimotor adaptation

The paper develops a software tool for at-home sensorimotor adaptation studies, showing similar behavioral results to lab settings.

An α-MN collateral to γ-MNs can mitigate velocity-dependent stretch reflexes during voluntary movement: A computational study

This paper uses a computational model to show that α-MN collaterals to γ-MNs reduce velocity-dependent stretch reflex disruptions during voluntary movement.

Learning context shapes bimanual control strategy and generalization of novel dynamics

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.

Internal Dynamics Interact with Proprioceptive Feedback During Movement Execution in an RNN Model of Motor Cortex

This study uses an RNN model of motor cortex to show that internal dynamics and proprioceptive feedback interact during movement execution, with feedback controlling movement termination and improving robustness.

Continuous estimation of reaching space in superficial layers of the motor cortex

The paper investigates how motor cortex layer 2/3 neurons encode spatial target information during reaching tasks in mice, showing target-space selectivity persists beyond movement execution.

Active perceptual learning involves motor exploration and adaptation of predictive sensory integration

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.

Acute loss of fingertip sensation leads to general compensatory changes in eye-hand coordination

This study examines how losing fingertip touch affects eye-hand coordination during a manual dexterity task, finding increased trial times, altered force profiles, and more aligned gaze and hand positions.

Sensory uncertainty influences motor learning differently in blocked versus interleaved trial contexts when both feedforward and feedback processes are engaged

The paper shows that sensory uncertainty affects motor learning differently in blocked vs interleaved trial contexts when both feedforward and feedback processes are engaged, with abrupt changes in movement plans correlated with sensory uncertainty.

Context versus aiming in motor learning when both feedforward and feedback control processes are engaged

The paper investigates whether sensory uncertainty drives abrupt changes in motor plans during movement or acts as a context cue for context-specific motor learning, finding that an aiming model better explains the data.

Double dissociation of sensorimotor interaction mediated by visual feedback during continuous de novo motor learning

This study investigates how visual feedback influences sensorimotor interactions during motor learning, finding a double dissociation in brain activity and reduced connectivity between somatosensory and visual cortices.

Directional uncertainty in chase and escape dynamics

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.