A computational model of muscle recruitment for wrist movements
A computational model of muscle recruitment for wrist movements
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DOI：
10.1152/jn.00621.2002
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发表时间：
2002-12-01
影响因子：
2.5
通讯作者：
Barto, AG
中科院分区：
文献类型：
--
作者：
Fagg, AH;Shah, A;Barto, AG
为了执行一个动作，中枢神经系统必须适当地选择和激活将产生所需动作的肌肉。这个问题特别困难，因为通常可以使用各种肌肉子集来产生相同的关节运动。因此，马达系统面临着马达冗余问题，必须解决该问题以产生运动。在本文中，我们提出了一个模型的肌肉招募手腕步跟踪任务。选择五块肌肉的肌肉激活水平，以便满足任务约束（移动到指定目标），同时还最小化产生运动的总努力的测量。施加这些限制产生肌肉激活模式定性类似于实验观察到的。特别是，该模型再现了所观察到的肌肉的余弦样募集作为运动方向的函数，并且还适当地预测某些肌肉将在与其动作方向显著不同的运动方向上被最强烈地募集。这些结果表明，所观察到的招募行为可能不是神经系统采用的明确策略，而是运动优化过程的结果。
To execute a movement, the CNS must appropriately select and activate the set of muscles that will produce the desired movement. This problem is particularly difficult because a variety of muscle subsets can usually be used to produce the same joint motion. The motor system is therefore faced with a motor redundancy problem that must be resolved to produce the movement. In this paper, we present a model of muscle recruitment in the wrist step-tracking task. Muscle activation levels for five muscles are selected so as to satisfy task constraints (moving to the designated target) while also minimizing a measure of the total effort in producing the movement. Imposing these constraints yields muscle activation patterns qualitatively similar to those observed experimentally. In particular, the model reproduces the observed cosine-like recruitment of muscles as a function of movement direction and also appropriately predicts that certain muscles will be recruited most strongly in movement directions that differ significantly from their direction of action. These results suggest that the observed recruitment behavior may not be an explicit strategy employed by the nervous system, but instead may result from a process of movement optimization.