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Control of Movement: Rapid visuomotor feedback gains are tuned to the task dynamics

机译:运动控制:快速的视觉运动反馈增益可根据任务动态进行调整

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摘要

Adaptation to novel dynamics requires learning a motor memory, or a new pattern of predictive feedforward motor commands. Recently, we demonstrated the upregulation of rapid visuomotor feedback gains early in curl force field learning, which decrease once a predictive motor memory is learned. However, even after learning is complete, these feedback gains are higher than those observed in the null field trials. Interestingly, these upregulated feedback gains in the curl field were not observed in a constant force field. Therefore, we suggest that adaptation also involves selectively tuning the feedback sensitivity of the sensorimotor control system to the environment. Here, we test this hypothesis by measuring the rapid visuomotor feedback gains after subjects adapt to a variety of novel dynamics generated by a robotic manipulandum in three experiments. To probe the feedback gains, we measured the magnitude of the motor response to rapid shifts in the visual location of the hand during reaching. While the feedback gain magnitude remained similar over a larger than a fourfold increase in constant background load, the feedback gains scaled with increasing lateral resistance and increasing instability. The third experiment demonstrated that the feedback gains could also be independently tuned to perturbations to the left and right, depending on the lateral resistance, demonstrating the fractionation of feedback gains to environmental dynamics. Our results show that the sensorimotor control system regulates the gain of the feedback system as part of the adaptation process to novel dynamics, appropriately tuning them to the environment.>NEW & NOTEWORTHY Here, we test whether rapid visuomotor feedback responses are selectively tuned to the task dynamics. The responses do not exhibit gain scaling, but they do vary with the level and stability of task dynamics. Moreover, these feedback gains are independently tuned to perturbations to the left and right, depending on these dynamics. Our results demonstrate that the sensorimotor control system regulates the feedback gain as part of the adaptation process, tuning them appropriately to the environment.
机译:适应新的动力学要求学习运动记忆,或预测性前馈运动命令的新模式。最近,我们证明了在卷曲力场学习中早期快速运动视觉反馈增益的上调,一旦学习到预测性运动记忆,该值就会下降。但是,即使在学习完成之后,这些反馈增益仍高于零场试验中观察到的反馈增益。有趣的是,在恒定力场中未观察到在卷曲场中的这些上调的反馈增益。因此,我们建议适应还涉及选择性地调节感觉运动控制系统对环境的反馈灵敏度。在这里,我们通过在三个实验中测量受试者适应由机器人Manipulandum产生的各种新颖动力学后的快速运动视觉反馈增益来检验该假设。为了探究反馈增益,我们测量了手在到达过程中手部视觉位置快速移动时电机响应的幅度。在恒定背景负载的增加幅度大于四倍的情况下,反馈增益幅度保持相似,而反馈增益随横向电阻和不稳定性的增加而按比例缩放。第三个实验表明,反馈增益也可以独立地调整为左右扰动,具体取决于横向阻力,这表明了反馈增益对环境动力学的影响。我们的结果表明,作为适应新动态的过程的一部分,感觉运动控制系统调节反馈系统的增益,以使其适应环境。> NEW&NOTEWORTHY 在这里,我们测试是否快速运动运动反馈响应被选择性地调整为任务动态。响应没有显示出增益缩放,但是会随着任务动态的水平和稳定性而变化。而且,取决于这些动态,这些反馈增益被独立地调整为左右扰动。我们的结果表明,作为适应过程的一部分,感觉运动控制系统会调节反馈增益,以使其适应环境。

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