Kazantsev V B, Nekorkin V I, Binczak S, Jacquir S, Bilbault J M
Institute of Applied Physics, Russian Academy of Sciences, 46 Uljanov Str., 603950 Nizhny Novgorod, Russia.
Chaos. 2005 Jun;15(2):23103. doi: 10.1063/1.1883866.
Spiking sequences emerging from dynamical interaction in a pair of oscillatory neurons are investigated theoretically and experimentally. The model comprises two unidirectionally coupled FitzHugh-Nagumo units with modified excitability (MFHN). The first (master) unit exhibits a periodic spike sequence with a certain frequency. The second (slave) unit is in its excitable mode and responds on the input signal with a complex (chaotic) spike trains. We analyze the dynamic mechanisms underlying different response behavior depending on interaction strength. Spiking phase maps describing the response dynamics are obtained. Complex phase locking and chaotic sequences are investigated. We show how the response spike trains can be effectively controlled by the interaction parameter and discuss the problem of neuronal information encoding.
对一对振荡神经元动态相互作用产生的尖峰序列进行了理论和实验研究。该模型由两个具有修改兴奋性的单向耦合FitzHugh-Nagumo单元（MFHN）组成。第一个（主）单元以一定频率呈现周期性尖峰序列。第二个（从）单元处于其可兴奋模式，并以复杂（混沌）尖峰序列对输入信号做出响应。我们分析了取决于相互作用强度的不同响应行为背后的动态机制。获得了描述响应动态的尖峰相位图。研究了复杂锁相和混沌序列。我们展示了如何通过相互作用参数有效控制响应尖峰序列，并讨论了神经元信息编码问题。
