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Posture as a reference frame: a brain neural network model

机译:姿势作为参考框架:大脑神经网络模型

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A plausible neural network simulation of the brain structuresinvolved in a goal-directed reaching movement should take two mainfactors into account. The first deals with the muscular activitiescontrolling the movement itself. The second mainly relates tostabilizing the reference frame of the movement and serves to triggerthe appropriate anticipatory postural commands. The latter involvescontrol over muscle synergies. The authors checked the validity of theconcepts of control augmentation and stabilization augmentation. Inaeronautics, each concept is implemented in a specialized computersystem. In the brain, the cerebellum (for movement coordination) and thebasal ganglia (for securing the postural stabilization of given segmentsduring each elementary movement) would play a similar role. A model isproposed to show how these two structures may intervene in helping thecerebrum during a sequence of elementary movements which includes thelocation of a target in relation to both the external world and the bodyscheme
机译:涉及目标定向的到达运动的大脑结构的合理的神经网络模拟应考虑两个主要因素。首先涉及控制运动本身的肌肉活动。第二个主要涉及稳定机芯的参考系,并用于触发适当的预期姿势命令。后者涉及控制肌肉协同作用。作者检查了控制增强和稳定增强概念的有效性。在航空学中,每个概念都在专门的计算机系统中实现。在大脑中,小脑(用于运动协调)和基底神经节(用于在每次基本运动期间确保给定节段的姿势稳定)将发挥相似的作用。提出了一个模型来显示这两种结构如何在一系列基本运动中干预大脑,包括与外部世界和人体计划相关的目标位置

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