Motor Control and Adaptation

The paper investigates multiplicative joint coding in motor cortex during a double-reach task and finds it transitions to additive coding during execution.

This paper shows that perturbation variability does not affect implicit sensorimotor adaptation, as non-linear error correction explains observed effects without requiring changes in error sensitivity.

The paper investigates how the developing cerebellum in rats processes self- versus other-generated movements during active sleep, finding that self-generated movements are prioritized for sensorimotor learning.

The paper investigates task-dependent gating of neocortical inputs to the cerebellum using fMRI, finding that cerebellar activity increases more than expected during speed-related tasks and working memory encoding.

This study shows that cholecystokinin (CCK) from the rhinal cortex supports motor skill learning by enabling neuroplasticity in the motor cortex.

The paper demonstrates that hysteresis in human sensorimotor decision-making emerges from a dynamic system learning from action consequences, supported by experiments and a computational model.

The paper infers information flow between PRR and LIP in posterior parietal cortex during reaching tasks, finding primarily unidirectional flow from PRR to LIP.

The paper models the sensorimotor system under computational and physical constraints, finding a preference for joint angle coordinates and revealing avoidance and placement neurons in obstacle navigation.

This study uses AutoLFADS to analyze neural activity during initial and corrective movements in rhesus macaques, revealing distinct neural features and the limitations of traditional decoding methods.

This study shows that exploratory behavior during training biases the movement strategies mice use to reach a spatial target.

The paper introduces a novel horizontal ladder test (HLT) protocol for assessing motor coordination in pigs and validates its construct validity using voluntary alcohol consumption.

The paper uses task-driven neural networks to predict neural activity in proprioceptive pathways during reaching tasks, finding that task-optimized models outperform other models.

The paper shows that during voluntary movement, sensory signals are attenuated in the primate cuneate nucleus, suggesting it plays a role in modulating somatosensory transmission.

This study shows humans can learn new walking patterns through reinforcement learning, despite stability risks, and retain explicit memory better than implicit memory.

The paper identifies distinct distributions and functions of dopamine receptor-expressing neurons in the motor cortex, showing D2+ neurons specifically affect skilled forelimb reaching.

The paper characterizes visuomotor and proprioceptive information processing by analyzing the irregularity of instantaneous gamma frequency in neural recordings during goal-directed movements.

This study investigates how feedback timing affects sensorimotor adaptation, finding that optimal feedback timing occurs before hand reaching the target, similar to continuous feedback.

This study shows that exposure to unpredictable perturbations impairs subsequent adaptation to consistent force fields during locomotion.

The paper models interactions between feedback, neural activity, and plasticity in a closed-loop motor learning task, showing how plasticity signs can change with feedback strength.

This paper investigates how the nervous system represents arm movements in the presence of kinematic redundancies, finding that absolute reference frames better represent joint space for inverse kinematics.

The paper shows that motor cortex maintains similar neural dynamics during motor execution and imagery by recreating missing components in a unique imagery subspace.

This paper proposes a perceptual error framework based on Bayesian cue combination to explain implicit motor adaptation, showing it outperforms sensory error-based models.

This study examines how motor cortical activity in mice adapts during movement preparation based on the predictability of go timing, finding that predictable timing leads to more accurate movements with longer reaction times.

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.

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.

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.

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

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.

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.

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