In order to generate skilled and efficient actions, the motor system must find solutions to several problems inherent in sensorimotor control, including nonlinearity, nonstationarity, delays, redundancy, uncertainty, and noise. We review these problems and five computational mechanisms that the brain may use to limit their deleterious effects: optimal feedback control, impedance control, predictive control, Bayesian decision theory, and sensorimotor learning. Together, these computational mechanisms allow skilled and fluent sensorimotor behavior
In this work we seek to find the underpinnings of neuronal control and movement. In doing so, we hop...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Neural signals are corrupted by noise and this places limits on information processing. We review th...
In order to generate skilled and efficient actions, the motor system must find solutions to several ...
In order to generate skilled and efficient actions, the motor system must find solutions to several ...
Our cognitive abilities can only be expressed on the world through our actions. Here we review the c...
The human sensorimotor control system has exceptional abilities to perform skillful actions. We easi...
Biological sensorimotor control systems possess the ability to achieve control objectives under circ...
Uncertainty constitutes a fundamental constraint on human sensorimotor control. Our sensors are nois...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
The study of sensorimotor learning has a long history. With the advent of innovative techniques for ...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Movements produced in everyday life pursue a goal. Key to the success of such movements is the motor...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
In this work we seek to find the underpinnings of neuronal control and movement. In doing so, we hop...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Neural signals are corrupted by noise and this places limits on information processing. We review th...
In order to generate skilled and efficient actions, the motor system must find solutions to several ...
In order to generate skilled and efficient actions, the motor system must find solutions to several ...
Our cognitive abilities can only be expressed on the world through our actions. Here we review the c...
The human sensorimotor control system has exceptional abilities to perform skillful actions. We easi...
Biological sensorimotor control systems possess the ability to achieve control objectives under circ...
Uncertainty constitutes a fundamental constraint on human sensorimotor control. Our sensors are nois...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
The study of sensorimotor learning has a long history. With the advent of innovative techniques for ...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Movements produced in everyday life pursue a goal. Key to the success of such movements is the motor...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
In this work we seek to find the underpinnings of neuronal control and movement. In doing so, we hop...
Recent advances in movement neuroscience suggest that sensorimotor control can be considered as a co...
Neural signals are corrupted by noise and this places limits on information processing. We review th...