Sakitt B
Biol Cybern. 1980;37(4):227-34. doi: 10.1007/BF00337041.
A model is introduced for the motor program which controls final position. The first part of the model relates the biomechanical properties of the muscles to the EMG activities of the extensor and flexor muscles and thereby generates quantitative predictions for the relationships between the EMGs, final position, external forces, muscle stiffness, and muscle tension. To the extent that comparable data exist, the model is shown to give correct quantitative predictions. When only qualitative comparisons can be made, the model is consistent with the data in the literature. The model is complete and can be tested quantitatively in detail in the future. An equivalent circuit for the neural network that innervates the muscles is given. It is shown to have the advantages of making the programming of final position simple to either compute or look up in a table. In addition, new situations, such as adapting to a force, or an unusual viewing angle, lead to very simple changes in the basic program in terms of the equivalent circuit.
本文介绍了一种用于控制最终位置的运动程序模型。该模型的第一部分将肌肉的生物力学特性与伸肌和屈肌的肌电图活动联系起来，从而对肌电图、最终位置、外力、肌肉刚度和肌肉张力之间的关系进行定量预测。在存在可比数据的范围内，该模型能够给出正确的定量预测。当只能进行定性比较时，该模型与文献中的数据一致。该模型是完整的，未来可以进行详细的定量测试。文中给出了支配肌肉的神经网络的等效电路。结果表明，它具有使最终位置编程易于计算或查表的优点。此外，在适应力或异常视角等新情况下，就等效电路而言，基本程序只需进行非常简单的更改。
