Matsuoka Kiyotoshi
Department of Brain Science and Engineering, Kyushu Institute of Technology, Kyushu, Japan.
Biol Cybern. 2011 May;104(4-5):297-304. doi: 10.1007/s00422-011-0432-z. Epub 2011 May 12.
Although the Matsuoka neural oscillator, which was originally proposed as a model of central pattern generators, has widely been used for various robots performing rhythmic movements, its characteristics are not clearly explained even now. This article shows two closed-form relations that express the frequency and amplitude of the generated oscillation as functions of the parameters of the model. Although they are derived based on a rough linear approximation, they accord with the result obtained by a simulation considerably. The obtained relations also give us some nontrivial predictions about the properties of the oscillator.
尽管最初作为中枢模式发生器模型提出的松冈神经振荡器已被广泛应用于各种执行节律性运动的机器人，但即使到现在，其特性仍未得到清晰的解释。本文展示了两个封闭形式的关系，它们将所产生振荡的频率和幅度表示为模型参数的函数。尽管它们是基于粗略的线性近似推导出来的，但与模拟结果相当吻合。所得到的关系也为振荡器的特性给出了一些重要的预测。
