Pages that link to "Item:Q1302359"
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The following pages link to Computational nature of human adaptive control during learning of reaching movements in force fields (Q1302359):
Displaying 31 items.
- Intermittent control: a computational theory of human control (Q663908) (← links)
- State estimation bias induced by optimization under uncertainty and error cost asymmetry is likely reflected in perception (Q663920) (← links)
- Revealing non-analytic kinematic shifts in smooth goal-directed behaviour (Q714123) (← links)
- Computational model of motor learning and perceptual change (Q740622) (← links)
- Optimal motor control may mask sensory dynamics (Q843240) (← links)
- Predictive feedback in human simulated pendulum balancing (Q843259) (← links)
- Threading neural feedforward into a mechanical spring: How biology exploits physics in limb control (Q885434) (← links)
- Predictive feedback control and Fitts' law (Q937713) (← links)
- Vector field approximation: A computational paradigm for motor control and learning (Q1202328) (← links)
- Modelling of direct motor program learning in fast human arm motions (Q1262016) (← links)
- A mathematical model of the adaptive control of human arm motions (Q1306022) (← links)
- A model for learning human reaching movements (Q1376157) (← links)
- A planar neuro-musculoskeletal arm model in post-stroke patients (Q1627036) (← links)
- On the use of forward kinematic models in visually guided hand position control--analysis based on ISLES model (Q1851860) (← links)
- Evidence for a specific internal representation of motion--force relationships during object manipulation (Q1889155) (← links)
- Sequence, time, or state representation: how does the motor control system adapt to variable environments? (Q1889231) (← links)
- A novel model of motor learning capable of developing an optimal movement control law online from scratch (Q1889336) (← links)
- Learning the dynamics of reaching movements results in the modification of arm impedance and long-latency perturbation responses (Q1889436) (← links)
- Stability and motor adaptation in human arm movements (Q2373075) (← links)
- The role of the striatum in adaptation learning: a computational model (Q2373231) (← links)
- Concurrent adaptation of force and impedance in the redundant muscle system (Q2376448) (← links)
- Linking cognitive and reaching trajectories via intermittent movement control (Q2437261) (← links)
- Adaptive dynamic programming as a theory of sensorimotor control (Q2514800) (← links)
- A robust adaptive dynamic programming principle for sensorimotor control with signal-dependent noise (Q2517103) (← links)
- Constrained rigid body stability and control (Q3458629) (← links)
- An Internal Model for Acquisition and Retention of Motor Learning During Arm Reaching (Q3497616) (← links)
- Learning to Exploit Proximal Force Sensing: A Comparison Approach (Q3568614) (← links)
- Model-Free Robust Optimal Feedback Mechanisms of Biological Motor Control (Q5131189) (← links)
- Optimal control of human‐like musculoskeletal arm: Prediction of trajectory and muscle forces (Q5346590) (← links)
- Minimum Acceleration Criterion with Constraints Implies Bang-Bang Control as an Underlying Principle for Optimal Trajectories of Arm Reaching Movements (Q5453540) (← links)
- Computational reproductions of external force field adaption without assuming desired trajectories (Q6078727) (← links)
