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本文引用的文献

1
Robust Control in Human Reaching Movements: A Model-Free Strategy to Compensate for Unpredictable Disturbances.人体运动中的鲁棒控制:一种补偿不可预测干扰的无模型策略。
J Neurosci. 2019 Oct 9;39(41):8135-8148. doi: 10.1523/JNEUROSCI.0770-19.2019. Epub 2019 Sep 5.
2
How Can You Best Measure Reaction Times?你如何能最好地测量反应时间?
J Mot Behav. 2019;51(5):486-495. doi: 10.1080/00222895.2018.1518311. Epub 2018 Oct 25.
3
Neck muscle spindle noise biases reaches in a multisensory integration task.颈部肌肉梭内噪声会影响多感觉整合任务中的伸手幅度。
J Neurophysiol. 2018 Sep 1;120(3):893-909. doi: 10.1152/jn.00643.2017. Epub 2018 May 9.
4
Avoiding unseen obstacles: Subcortical vision is not sufficient to maintain normal obstacle avoidance behaviour during reaching.避免看不见的障碍物:在伸手过程中,皮质下视觉不足以维持正常的避障行为。
Cortex. 2018 Jan;98:177-193. doi: 10.1016/j.cortex.2016.09.010. Epub 2016 Oct 3.
5
The Effect of Gaze Position on Reaching Movements in an Obstacle Avoidance Task.注视位置对避障任务中伸手动作的影响。
PLoS One. 2015 Dec 4;10(12):e0144193. doi: 10.1371/journal.pone.0144193. eCollection 2015.
6
Quantifying effects of stochasticity in reference frame transformations on posterior distributions.量化参考系变换中的随机性对后验分布的影响。
Front Comput Neurosci. 2015 Jul 3;9:82. doi: 10.3389/fncom.2015.00082. eCollection 2015.
7
No effect of delay on the spatial representation of serial reach targets.延迟对连续伸手目标的空间表征没有影响。
Exp Brain Res. 2015 Apr;233(4):1225-35. doi: 10.1007/s00221-015-4197-9. Epub 2015 Jan 20.
8
On the contributions of vision and proprioception to the representation of hand-near targets.关于视觉和本体感觉对手部附近目标表征的贡献。
J Neurophysiol. 2015 Jan 15;113(2):409-19. doi: 10.1152/jn.00005.2014. Epub 2014 Oct 22.
9
Three-dimensional reach trajectories as a probe of real-time decision-making between multiple competing targets.三维到达轨迹作为实时决策多个竞争目标之间的探针。
Front Neurosci. 2014 Jul 23;8:215. doi: 10.3389/fnins.2014.00215. eCollection 2014.
10
Rapid prediction of biomechanical costs during action decisions.行动决策过程中生物力学成本的快速预测。
J Neurophysiol. 2014 Sep 15;112(6):1256-66. doi: 10.1152/jn.00147.2014. Epub 2014 Jun 3.

绕过障碍物的动作可以补偿坐标变换中的不确定性。

Reaching around obstacles accounts for uncertainty in coordinate transformations.

机构信息

Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada.

Canadian Action and Perception Network (CAPnet), Toronto, Ontario, Canada.

出版信息

J Neurophysiol. 2020 May 1;123(5):1920-1932. doi: 10.1152/jn.00049.2020. Epub 2020 Apr 8.

DOI:10.1152/jn.00049.2020
PMID:32267186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7444913/
Abstract

When reaching to a visual target, humans need to transform the spatial target representation into the coordinate system of their moving arm. It has been shown that increased uncertainty in such coordinate transformations, for instance, when the head is rolled toward one shoulder, leads to higher movement variability and influence movement decisions. However, it is unknown whether the brain incorporates such added variability in planning and executing movements. We designed an obstacle avoidance task in which participants had to reach with or without visual feedback of the hand to a visual target while avoiding collisions with an obstacle. We varied coordinate transformation uncertainty by varying head roll (straight, 30° clockwise, and 30° counterclockwise). In agreement with previous studies, we observed that the reaching variability increased when the head was tilted. Indeed, head roll did not influence the number of collisions during reaching compared with the head-straight condition, but it did systematically change the obstacle avoidance behavior. Participants changed the preferred direction of passing the obstacle and increased the safety margins indicated by stronger movement curvature. These results suggest that the brain takes the added movement variability during head roll into account and compensates for it by adjusting the reaching trajectories. We show that changing body geometry such as head roll results in compensatory reaching behaviors around obstacles. Specifically, we observed head roll causes changed preferred movement direction and increased trajectory curvature. As has been shown before, head roll increases movement variability due to stochastic coordinate transformations. Thus these results provide evidence that the brain must consider the added movement variability caused by coordinate transformations for accurate reach movements.

摘要

当人类伸手去够视觉目标时,需要将目标的空间表示转换为运动手臂的坐标系。已经表明,这种坐标系转换的不确定性增加(例如,头部向一侧倾斜时)会导致运动的可变性增加,并影响运动决策。然而,目前尚不清楚大脑是否会在规划和执行运动时考虑到这种增加的可变性。我们设计了一个避障任务,参与者需要在视觉反馈的情况下或没有视觉反馈的情况下用手够到视觉目标,同时避免与障碍物碰撞。我们通过改变头部倾斜的角度来改变坐标转换的不确定性(头部保持笔直、顺时针倾斜 30 度和逆时针倾斜 30 度)。与之前的研究一致,我们观察到当头部倾斜时,伸手的可变性增加。实际上,与头部保持笔直的情况相比,头部倾斜并没有影响到达时的碰撞次数,但它确实系统地改变了避障行为。参与者改变了通过障碍物的首选方向,并通过增加更强的运动曲率来增加安全裕度。这些结果表明,大脑考虑了头部倾斜时增加的运动可变性,并通过调整到达轨迹来补偿它。我们表明,改变身体几何形状(如头部倾斜)会导致在障碍物周围进行补偿性的伸手动作。具体来说,我们观察到头部倾斜会导致首选运动方向发生变化,并增加轨迹曲率。如前所述,头部倾斜会因随机坐标转换而增加运动的可变性。因此,这些结果提供了证据表明,大脑必须考虑坐标转换引起的额外运动可变性,以实现准确的伸手运动。