| Summary: | 碩士 === 國立東華大學 === 應用物理研究所 === 96 === Neuron plays an important role for human's behavior. However, the process of signal transmission may not easily be understood due to its complex membrane structure and network topology. In order to understand the mechanism of
this complex behavior, people simulate the phenomena by constructing the model to understand the anfractuosities. Starting from the understanding of the coupling behavior of two FitzHugh-Nagumo model-like neurons, we investigate how the coupling strength and noise intensity effect the characteristics of the two-coupled excitable/oscillatory FHN-like neuron. The spike frequency of FitzHugh-Nagumo model is determined by its excitability. However, when a fast oscillatory element is coupled to a slower one, what will happen to these two elements? In most cases, the system will synchronize and oscillate with a "compromised" frequency between the two intrinsic uncoupled frequencies. But for some cases, novel situation such as further enhancement of the faster oscillator is possible.
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