Lee Sang-Gui, Kim Seunghwan
AsiaPacific Center for Theoretical Physics , National Core Research Center on System BioDynamics, and Nonlinear and Complex Systems Laboratory, Department of Physics, Pohang University of Science and Technology, San 31 Hyojadong, Pohang, Korea.
Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Dec;72(6 Pt 1):061906. doi: 10.1103/PhysRevE.72.061906. Epub 2005 Dec 12.
The phenomena of stochastic resonance (SR) has attracted much attention in the studies of the excitable systems, in particular, the nervous systems under noise. Recently, an alternative SR condition, called the bona fide SR, was proposed for the bistable system under noise, based on the notion of the residence time distribution. As the forcing frequency increases, there exists an optimal resonant frequency. We study the SR in a stochastic Hodgkin-Huxley neuron, which has an inherent natural frequency in addition to the stochastic time scale. We have observed two resonant conditions; one between periodic forcing and natural frequencies, and the other between the periodic forcing and the stochastic frequencies. These resonance conditions show the bona fide stochastic resonance with multimodality. For comparison, we have studied the bona fide SR in the stochastic FitzHugh-Nagumo neuron, where, the multimodality is not observed. The differences in the resonance structure of two neuron models are understood in terms of differences in the phase portraits.
随机共振(SR)现象在可兴奋系统,特别是噪声环境下的神经系统研究中引起了广泛关注。最近,基于驻留时间分布的概念,针对噪声环境下的双稳系统提出了一种称为真实随机共振(bona fide SR)的替代SR条件。随着强迫频率的增加,存在一个最优共振频率。我们研究了具有除随机时间尺度外固有自然频率的随机霍奇金-赫胥黎神经元中的随机共振。我们观察到了两种共振条件:一种是周期性强迫与自然频率之间的共振,另一种是周期性强迫与随机频率之间的共振。这些共振条件显示出具有多峰性的真实随机共振。为了进行比较,我们研究了随机菲茨休-纳古莫神经元中的真实随机共振,在该神经元中未观察到多峰性。根据相图的差异可以理解两个神经元模型共振结构的不同。