Hasegawa H
Department of Physics, Tokyo Gakugei University, Koganei, Tokyo 184, Japan.
Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics. 2000 Jan;61(1):718-26. doi: 10.1103/physreve.61.718.
Numerical investigations have been made of responses of a Hodgkin-Huxley (HH) neuron to spike-train inputs whose interspike interval (ISI) is modulated by deterministic, semi-deterministic (chaotic), and stochastic signals. As deterministic one, we adopt inputs with the time-independent ISI and with time-dependent ISI modulated by sinusoidal signal. The Rössler and Lorentz models are adopted for chaotic modulations of ISI. Stochastic ISI inputs with the gamma distribution are employed. It is shown that distribution of output ISI data depends not only on the mean of ISIs of spike-train inputs but also on their fluctuations. The distinction of responses to the three kinds of inputs can be made by return maps of input and output ISIs, but not by their histograms. The relation between the variations of input and output ISIs is shown to be different from that of the integrate and fire (IF) model because of the refractory period in the HH neuron.
已对霍奇金-赫胥黎(HH)神经元对尖峰序列输入的响应进行了数值研究,这些尖峰序列输入的峰峰间隔(ISI)由确定性、半确定性(混沌)和随机信号调制。作为确定性信号,我们采用具有与时间无关的ISI以及由正弦信号调制的与时间有关的ISI的输入。对于ISI的混沌调制,采用了罗斯勒模型和洛伦兹模型。采用具有伽马分布的随机ISI输入。结果表明,输出ISI数据的分布不仅取决于尖峰序列输入的ISI均值,还取决于其波动。对这三种输入的响应差异可以通过输入和输出ISI的返回映射来区分,但不能通过它们的直方图来区分。由于HH神经元中的不应期,输入和输出ISI的变化之间的关系与积分发放(IF)模型的不同。