关于可预测环境中的力调节策略。
On force regulation strategies in predictable environments.
作者信息
Kolesnikov Maxim, Piovesan Davide, Lynch Kevin M, Mussa-Ivaldi Ferdinando A
机构信息
Sensory Motor Performance Program, Rehabilitation Institute of Chicago, 345 E Superior St, Chicago, IL 60611, USA.
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4076-81. doi: 10.1109/IEMBS.2011.6091013.
Abstract
This paper is focused on investigating force regulation strategies employed by human central nervous system (CNS). The mechanism responsible for force control is extremely important in people's lives, but not yet well understood. We formulate the general model of force regulation and identify several possible control strategies. An experimental approach is used to determine which of the force control strategies could actually be used by the CNS. Obtained results suggest that the force regulation process involves not only the pure force controller, but also a coupled motion controller, relying on the internal model of the environment.
摘要
本文着重研究人类中枢神经系统（CNS）所采用的力调节策略。负责力控制的机制在人们的生活中极其重要，但尚未得到充分理解。我们构建了力调节的通用模型，并确定了几种可能的控制策略。采用实验方法来确定中枢神经系统实际可能使用的力控制策略是哪一种。所得结果表明，力调节过程不仅涉及纯力控制器，还涉及一个依赖于环境内部模型的耦合运动控制器。
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本文引用的文献
1
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J Neurosci. 2009 Mar 25;29(12):3939-47. doi: 10.1523/JNEUROSCI.5856-08.2009.
2
Elastic properties of active muscle--on the rebound?活跃肌肉的弹性特性——是否存在回弹现象？
Exerc Sport Sci Rev. 2007 Oct;35(4):174-9. doi: 10.1097/jes.0b013e318156e0e6.
3
Space-time separation during obstacle-avoidance learning in monkeys.猴子在避障学习过程中的时空分离
J Neurophysiol. 2006 Nov;96(5):2613-32. doi: 10.1152/jn.00188.2006. Epub 2006 Jul 19.
4
Parietal area 5 activity does not reflect the differential time-course of motor output kinetics during arm-reaching and isometric-force tasks.顶叶5区的活动并不反映手臂伸展和等长力任务期间运动输出动力学的差异时程。
J Neurophysiol. 2006 Jun;95(6):3353-70. doi: 10.1152/jn.00789.2005. Epub 2006 Feb 15.
5
The posterior parietal cortex: sensorimotor interface for the planning and online control of visually guided movements.后顶叶皮层：视觉引导运动规划和在线控制的感觉运动接口。
Neuropsychologia. 2006;44(13):2594-606. doi: 10.1016/j.neuropsychologia.2005.10.011. Epub 2005 Nov 21.
6
The central nervous system stabilizes unstable dynamics by learning optimal impedance.中枢神经系统通过学习最优阻抗来稳定不稳定的动力学。
Nature. 2001 Nov 22;414(6862):446-9. doi: 10.1038/35106566.
7
A method for measuring endpoint stiffness during multi-joint arm movements.一种在多关节手臂运动过程中测量末端刚度的方法。
J Biomech. 2000 Dec;33(12):1705-9. doi: 10.1016/s0021-9290(00)00142-1.
8
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9
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10
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J Neurosci. 1985 Oct;5(10):2732-43. doi: 10.1523/JNEUROSCI.05-10-02732.1985.
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