Human motor learning is robust to control-dependent noise

Did we get sensorimotor adaptation wrong? Implicit adaptation as direct policy updating rather than forward-model-based learning

(2021) Alkis M. Hadjiosif et al.   JOURNAL OF NEUROSCIENCE

Robust Policy Iteration for Continuous-Time Linear Quadratic Regulation

(2021) Bo Pang et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control

(2020) Tao Bian et al.   NEURAL COMPUTATION

Reinforcement learning for adaptive optimal control of continuous-time linear periodic systems

(2020) Bo Pang et al.   AUTOMATICA

Adaptive Optimal Control of Linear Periodic Systems: An Off-Policy Value Iteration Approach

(2020) Bo Pang et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Robust Control in Human Reaching Movements: A Model-Free Strategy to Compensate for Unpredictable Disturbances

(2019) Frédéric Crevecoeur et al.   JOURNAL OF NEUROSCIENCE

Optimal and Autonomous Control Using Reinforcement Learning: A Survey

(2018) Bahare Kiumarsi et al.   IEEE Transactions on Neural Networks and Learning Systems

Modeling of Endpoint Feedback Learning Implemented Through Point-to-Point Learning Control

(2017) Shou-Han Zhou et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Using noise to shape motor learning

(2017) Elias B. Thorp et al.   JOURNAL OF NEUROPHYSIOLOGY

Target Uncertainty Mediates Sensorimotor Error Correction

(2017) Luigi Acerbi et al.   PLoS One

Adaptive Dynamic Programming for Stochastic Systems With State and Control Dependent Noise

(2016) Tao Bian et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Persistent Residual Errors in Motor Adaptation Tasks: Reversion to Baseline and Exploratory Escape

(2015) P. A. Vaswani et al.   JOURNAL OF NEUROSCIENCE

Apparent and Actual Trajectory Control Depend on the Behavioral Context in Upper Limb Motor Tasks

(2015) T. Cluff et al.   JOURNAL OF NEUROSCIENCE

A robust adaptive dynamic programming principle for sensorimotor control with signal-dependent noise

(2015) Yu Jiang et al.   Journal of Systems Science & Complexity

Adaptive dynamic programming as a theory of sensorimotor control

(2014) Yu Jiang et al.   BIOLOGICAL CYBERNETICS

Temporal structure of motor variability is dynamically regulated and predicts motor learning ability

(2014) Howard G Wu et al.   NATURE NEUROSCIENCE

Mini-max feedback control as a computational theory of sensorimotor control in the presence of structural uncertainty

(2014) Yuki Ueyama   Frontiers in Computational Neuroscience

Optimal control of reaching includes kinematic constraints

(2013) Michael Mistry et al.   JOURNAL OF NEUROPHYSIOLOGY

Energy-related optimal control accounts for gravitational load: comparing shoulder, elbow, and wrist rotations

(2013) Jérémie Gaveau et al.   JOURNAL OF NEUROPHYSIOLOGY

Overcoming Motor "Forgetting" Through Reinforcement Of Learned Actions

(2012) L. Shmuelof et al.   JOURNAL OF NEUROSCIENCE

Knowing how much you don't know: a neural organization of uncertainty estimates

(2012) Dominik R. Bach et al.   NATURE REVIEWS NEUROSCIENCE

Movement Duration, Fitts's Law, and an Infinite-Horizon Optimal Feedback Control Model for Biological Motor Systems

(2012) Ning Qian et al.   NEURAL COMPUTATION

Representations of uncertainty in sensorimotor control

(2011) Gergő Orbán et al.   CURRENT OPINION IN NEUROBIOLOGY

Impedance control is selectively tuned to multiple directions of movement

(2011) Abdelhamid Kadiallah et al.   JOURNAL OF NEUROPHYSIOLOGY

Computational Mechanisms of Sensorimotor Control

(2011) David W. Franklin et al.   NEURON

Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models

(2011) Vincent S. Huang et al.   NEURON

Neuromotor Noise, Error Tolerance and Velocity-Dependent Costs in Skilled Performance

(2011) Dagmar Sternad et al.   PLoS Computational Biology

Learning from Sensory and Reward Prediction Errors during Motor Adaptation

(2011) Jun Izawa et al.   PLoS Computational Biology

Impedance Control Reduces Instability That Arises from Motor Noise

(2009) L. P. J. Selen et al.   JOURNAL OF NEUROSCIENCE

Learning Optimal Adaptation Strategies in Unpredictable Motor Tasks

(2009) D. A. Braun et al.   JOURNAL OF NEUROSCIENCE

Neural correlates of risk prediction error during reinforcement learning in humans

(2009) Mathieu d'Acremont et al.   NEUROIMAGE

CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm

(2008) D. W. Franklin et al.   JOURNAL OF NEUROSCIENCE