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Computational mechanisms of sensorimotor control.

Franklin, DW and Wolpert, DM (2011) Computational mechanisms of sensorimotor control. Neuron, 72. pp. 425-442.

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Adaptation, Physiological Animals Bayes Theorem Brain Computer Simulation Feedback Humans Learning Models, Neurological Movement Nonlinear Dynamics Perception Psychomotor Performance
Subjects: UNSPECIFIED
Divisions: Div F > Computational and Biological Learning
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:21
Last Modified: 21 Apr 2014 01:09
DOI: 10.1016/j.neuron.2011.10.006

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