We propose a learning and control model of the arm for a loading task in which an object is loaded onto one hand with the other hand, in the sagittal plane.
The current study proposes a novel model for limb motor control with a surprising linear correlation of motor commands during movement and the postural holding ...
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Mar 15, 2024 · We propose a learning and control model of the arm for a loading task in which an object is loaded onto one hand with the other hand, ...
In this paper, we propose a learning model using the Actor-Critic method and the feedback-error-learning scheme. The Actor-Critic method, which is one of ...
Feb 11, 2020 · After a movement, the final posture of the arm is stabilized by a subcortical structure that mathematically integrates movement commands ...
Apr 15, 2024 · Our study confirms that the brain shifts the arm's equilibrium position to control the force, an assumption used in several computational ...
In this paper, we propose a computational model for arm reaching control and learning. Our model describes not only the mechanism of motor control but also ...
ABSTRACT. In this paper, we propose a learning model using the Actor-. Critic method and the feedback-error-learning scheme. The.
An Inverse Optimal Control Approach to Explain Human Arm Reaching ...
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Apr 3, 2018 · Human motor control is highly efficient in generating accurate and appropriate motor behavior for a multitude of tasks.