Characteristics of critical amplitude of a sinusoidal stimulus in a model neuron
Xie Yong (谢勇)a, Xu Jian-Xue (徐健学)a, Kang Yan-Mei (康艳梅)a, Hu San-Jue (胡三觉)b, Duan Yu-Bin (段玉斌)c
a State Key Laboratory of Mechanical Structural Strength and Vibration, Xi'an Jiaotong University, Xi'an 710049, China; b Institute of Neuroscience, The Fourth Military University, Xi'an 710032, China; c Department of Physiology, The Fourth Military University, Xi'an 710032, China
Abstract The characteristics of the critical amplitude of a sinusoidal stimulus in a model neuron, Morris-Lecar model, are investigated numerically. It is important in the study of stochastic resonance to determine whether a periodic stimulus is subthreshold or not. The critical amplitude as a function of the stimulus frequency is not a constant, but a curve, which is the boundary between subthreshold and suprathreshold stimulation. It has been considered that this curve is U-shaped in the previous investigations, and this has been accepted as a universal phenomenon. Nevertheless, we think that it is only true for a type of neuron: namely, resonators. Actually, there exists another type of neuron, integrators, which can undergo a saddle-node on invariant circle bifurcation from the rest state to the firing state. For the latter we find that the critical amplitude increases monotonically as the frequency of sinusoidal stimulus is increased. This is shown by way of the Morris-Lecar model. As a consequence, the critical amplitude curve is studied further, and the dynamical mechanisms underlying the change in critical amplitude curve are uncovered. The results of this paper can provide a reference to choose the subthreshold periodic stimulus.
Received: 24 July 2003
Revised: 19 December 2003
Accepted manuscript online:
Fund: Project supported by the National Key Natural Science Foundation of China (Grant No 30030040).
Cite this article:
Xie Yong (谢勇), Xu Jian-Xue (徐健学), Kang Yan-Mei (康艳梅), Hu San-Jue (胡三觉), Duan Yu-Bin (段玉斌) Characteristics of critical amplitude of a sinusoidal stimulus in a model neuron 2004 Chinese Physics 13 1396
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.