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Modeling Information Pathway of Motor Control Using Coherence Analysis

机译:相干性分析的电机控制建模信息路径

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Motor behavior can be guided by visual information. For example, hand actions were modified by visual cues that provided initial weight and size estimates of objects. Vision provides important inputs to the representational system which are linked not directly to motor outputs but are linked to cognitive systems. The visual and voluntary motor tasks are controlled by the brain signals which drive the cortical activity and perception. But the cortical activity are not driven by these external stimulus alone, relatively sensory information need to be integrated with various internal constraints such as planned actions, expectations, recent memories, etc. This paper presents C{sub}3-EEG coherence analysis during two different visual tasks concurrent with isometric contraction of the first dorsal interosseous (FDI) muscle. The functional connection between different brain regions was investigated to model information pathway of motor control in humans.
机译:电机行为可以通过视觉信息引导。例如,通过提供对象的初始重量和大小估计的视觉提示来修改手动操作。 Vision为代表系统提供了重要的输入,这些输入不直接连接到电机输出,但与认知系统相关联。视觉和自愿电机任务由推动皮质活动和感知的脑信号控制。但是皮质活动单独的这些外部刺激的驱动,需要与各种内部限制相结合,例如计划的动作,期望,最近存储器等。本文介绍了两者的C {亚} 3-EEG连贯性分析不同的视觉任务并发,与第一背体(FDI)肌肉的等距收缩。研究了不同脑区之间的功能联系,以模拟人类电机控制的信息途径。

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