Stochastic resonance in the FitzHugh-Nagumo model from a dynamic mutual information point of view
Stochastic resonance in the FitzHugh-Nagumo model from a dynamic mutual information point of view
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DOI：
10.1140/epjb/e2006-00363-x
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发表时间：
2006-10
期刊：
影响因子：
--
通讯作者：
T. Munakata;M. Kamiyabu
中科院分区：
文献类型：
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作者：
T. Munakata;M. Kamiyabu
基于输入和输出信号之间的动态互信息，研究了FitzHugh-Nagumo神经元模型中的随机共振现象。该功率谱用输入和输出时间序列的（交叉）功率谱表示。 基于该方法对随机周期和非周期随机共振都进行了处理，所得结果与随机周期情况下用信噪比（SNR）测量的随机共振和非周期情况下用功率范数测量的随机共振都有很好的雅阁 输入.
Stochastic resonance(SR) in a FitzHugh-Nagumo neuron model is investigated based on a dynamic mutual information (DMI) between the input and the corresponding output signals. The DMI is expressed in terms of the (cross)power spectra of the input and output time series. Both stochastic-periodic and aperiodic SR are treated based on the DMI and our results are in good accord with the SR measured by the signal to noise ratio(SNR) for the case of the stochastic-periodic input and the power norm for the case of the aperiodic input.