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本文引用的文献

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Internal models for interpreting neural population activity during sensorimotor control.用于解释感觉运动控制期间神经群体活动的内部模型。
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Feedback control during voluntary motor actions.反馈控制在自主运动中的作用。
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Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.人脑-机接口中的十维拟人化手臂控制:困难、解决方案及局限性
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The cost of moving optimally: kinematic path selection.最优移动的代价:运动路径选择
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Motor cortical correlates of arm resting in the context of a reaching task and implications for prosthetic control.运动皮层在手臂休息时的相关活动与假肢控制的关系
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Learning an Internal Dynamics Model from Control Demonstration.从控制演示中学习内部动力学模型。
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Cortical activity in the null space: permitting preparation without movement.静息空间中的皮质活动:在无需运动的情况下进行准备。
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Priors engaged in long-latency responses to mechanical perturbations suggest a rapid update in state estimation.先前对机械扰动的长潜伏期反应表明状态估计的快速更新。
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运动:大脑如何与外界交流。

Movement: How the Brain Communicates with the World.

作者信息

Schwartz Andrew B

机构信息

Department of Neurobiology, School of Medicine, University of Pittsburgh, E1440 BSTWR, 200 Lothrop Street, Pittsburgh, PA 15213, USA.

出版信息

Cell. 2016 Mar 10;164(6):1122-1135. doi: 10.1016/j.cell.2016.02.038.

DOI:10.1016/j.cell.2016.02.038
PMID:26967280
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4818644/
Abstract

Voluntary movement is a result of signals transmitted through a communication channel that links the internal world in our minds to the physical world around us. Intention can be considered the desire to effect change on our environment, and this is contained in the signals from the brain, passed through the nervous system to converge on muscles that generate displacements and forces on our surroundings. The resulting changes in the world act to generate sensations that feed back to the nervous system, closing the control loop. This Perspective discusses the experimental and theoretical underpinnings of current models of movement generation and the way they are modulated by external information. Movement systems embody intentionality and prediction, two factors that are propelling a revolution in engineering. Development of movement models that include the complexities of the external world may allow a better understanding of the neuronal populations regulating these processes, as well as the development of solutions for autonomous vehicles and robots, and neural prostheses for those who are motor impaired.

摘要

自主运动是通过一个通信通道传输信号的结果,该通道将我们头脑中的内部世界与周围的物理世界联系起来。意图可以被认为是改变我们环境的愿望,它包含在来自大脑的信号中,通过神经系统传递,汇聚到在我们周围产生位移和力的肌肉上。世界上由此产生的变化会产生感觉,反馈到神经系统,从而闭合控制回路。本视角讨论了当前运动生成模型的实验和理论基础,以及它们如何被外部信息调制。运动系统体现了意向性和预测能力,这两个因素正在推动工程领域的一场革命。开发包含外部世界复杂性因素的运动模型,可能有助于更好地理解调节这些过程的神经元群体,以及开发自动驾驶车辆和机器人的解决方案,以及为运动障碍者设计神经假体。