Abstract Summary
The neural oscillator proposed by Matsuoka can generate complicated and periodic signals by some of the variable parameters and feedback signals. In this study, the relationship among the output signals, the variable parameters and feedback signals was analyzed numerically. In the analysis, a feedback signal was regarded as a sine wave. As the result of the analysis, when the feedback signal was smaller than a constant term, the neural oscillator showed the same period as the feedback. When the feedback was large enough, the neural oscillator allowed us to make stable signals in the many combination among the parameters, while many of the output signals showed a different period from the feedback signal. Thus, the feedback signals should be notably important to decide the behaviour of the neural oscillator.