Franklin, DW and Wolpert, DM (2011) Computational mechanisms of sensorimotor control. Neuron, 72. pp. 425-442.Full text not available from this repository.
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.
|Uncontrolled Keywords:||Adaptation, Physiological Animals Bayes Theorem Brain Computer Simulation Feedback Humans Learning Models, Neurological Movement Nonlinear Dynamics Perception Psychomotor Performance|
|Divisions:||Div F > Computational and Biological Learning|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:14|
|Last Modified:||26 Mar 2017 00:54|