Motor Control and Adaptation

Getting stuck in a rut as an emergent feature of a dynamic decision-making system

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.

Inferring functional organization of posterior parietal cortex circuitry based on information flow

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

Low-Dimensional Representations of Visuomotor Coordination in Natural Behavior

The paper analyzes visuomotor coordination in natural behavior by reducing movement data to low-dimensional representations, revealing synergistic coupling and predictive accuracy of actions before onset.

Optimal reaching subject to computational and physical constraints reveals structure of the sensorimotor control system

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.

Evidence for flexible motor costs in vertical arm movements: reduced gravity-related effort minimization under high accuracy constraints

This study investigates how motor strategies adjust under different accuracy constraints, finding that gravity-related effort minimization decreases when high accuracy is required.

Mapping Motor Preparation in the Developing Brain: Insights from Contingent Negative Variation and Event-related Mu Rhythm Modulation

The paper examines motor preparation maturation in children and adolescents using EEG, finding increased cortical activity in the supplementary motor area with age and reduced sensory post-processing in younger subjects.

Exploration biases how forelimb reaches to a spatial target are learned

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

Movement quality moderates the effect of spatially congruent cues on the stability of rhythmic bimanual finger movements.

This study investigates how spatially congruent cues affect the stability of asymmetric rhythmic bimanual movements, finding that their benefits depend on movement frequency and strategy.

Subtle Visual Latency Can Profoundly Impair Implicit Sensorimotor Learning

The paper shows that reducing visual feedback latency from 85ms to 25ms increases implicit sensorimotor learning by 50% and decreases explicit learning, suggesting latency impacts memory reorganization.

Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia

This paper uses Bayesian inference to estimate parameters of a state feedback control model for vocal pitch in cerebellar ataxia and healthy controls, finding differences in feedback sensitivity and motor response.

Increased layer 5 Martinotti cell excitation reduces pyramidal cell population plasticity and improves learned motor execution

This study shows that activating layer 5 Chrna2 Martinotti cells during motor learning reduces pyramidal cell plasticity but improves motor skill execution in learned tasks.

Task-driven neural network models predict neural dynamics of proprioception

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.

Modulation of somatosensory signal transmission in the primate cuneate nucleus during voluntary hand movement

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.

Reinforcement learning during locomotion

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

Dopamine receptor-expressing neurons are differently distributed throughout layers of the motor cortex to control dexterity

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

Force, angle, and velocity parameters of finger movements are reflected in corticospinal excitability

The paper investigates which movement parameters are reflected in corticospinal excitability using MEP amplitude and finds that force, angle, and velocity are all reflected when EMG is considered.

Irregularity of instantaneous gamma frequency in the motor control network characterize visuomotor and proprioceptive information processing

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

Biomechanical Costs Influence Decisions Made During Ongoing Actions

The paper investigates how biomechanical costs influence decisions during ongoing actions, finding that biomechanical factors are considered when comparing similar types of continuous actions.

Advanced Feedback Enhances Sensorimotor Adaptation

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

Prior Uncertainty Impedes Discrete Locomotor Adaptation

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

Interactions between circuit architecture and plasticity in a closed-loop system

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.

Differential Impact of Biomechanical Constraints on Control Signal Dimensionality for Gravity Support Versus Propulsion

The paper examines how biomechanical constraints affect control signal dimensionality during reaching movements, finding that gravity support requires more consistent muscle co-contraction than propulsion.

Motor adaptation to environment changes predicting interactable object behaviour can be flexible and implicit

This study investigates how motor adaptation to environmental changes is influenced by visual cues, finding that perturbations in throw direction lead to internal model updating while accelerations allow flexible adaptation.

Human Motor Cortex Encodes Complex Handwriting Through a Sequence of Primitive Neural States

The paper uses Utah array recordings to show that the human motor cortex encodes handwriting through a sequence of primitive neural states, improving trajectory reconstruction accuracy by 84%.

muSim: A goal-driven framework for elucidating the neural control of movement through musculoskeletal modeling

The paper introduces muSim, a framework that uses RNNs and reinforcement learning to model motor cortex control of movement through musculoskeletal simulations, showing it can decode neural activity and generalize to new conditions.

Human Arm Redundancy - A New Approach for the Inverse Kinematics Problem

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.

Supervised deep machine learning models predict forelimb movement from excitatory neuronal ensembles and suggest distinct pattern of activity in CFA and RFA networks

The paper uses supervised deep learning models to decode forelimb movement from neuronal ensembles in CFA and RFA, finding distinct activity patterns between the two areas.

Motor cortex retains and reorients neural dynamics during motor imagery

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

Perceptual error based on Bayesian cue combination drives implicit motor adaptation

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

Differential formation of motor cortical dynamics during movement preparation according to the predictability of go timing

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.