What Is Optimal about Motor Control?

被引:226
作者
Friston, Karl [1 ]
机构
[1] Inst Neurol, Wellcome Trust Ctr Neuroimaging, London WC1N 3BG, England
基金
英国惠康基金;
关键词
OPTIMAL FEEDBACK-CONTROL; FREE-ENERGY PRINCIPLE; SENSORIMOTOR INTEGRATION; PROBABILISTIC INFERENCE; INFLUENCE DIAGRAMS; PREDICTION ERRORS; MODEL; BEHAVIOR; PERCEPTION; BRAIN;
D O I
10.1016/j.neuron.2011.10.018
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
This article poses a controversial question: is optimal control theory useful for understanding motor behavior or is it a misdirection? This question is becoming acute as people start to conflate internal models in motor control and perception (Poeppel et al., 2008; Hickok et al., 2011). However, the forward models in motor control are not the generative models used in perceptual inference. This Perspective tries to highlight the differences between internal models in motor control and perception and asks whether optimal control is the right way to think about things. The issues considered here may have broader implications for optimal decision theory and Bayesian approaches to learning and behavior in general.
引用
收藏
页码:488 / 498
页数:11
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