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中文摘要：
研究了指数衰减阈值对高斯白噪声刺激下的IF（integrate-and-fire）神经元的影响,特别是对峰电位间隔的均值和标准差的影响.结果显示当阈值衰减缓慢时,不论神经元的点火频率何时与阂值的衰减频率相匹配,峰电位间隔的变化系数都能达到最小值.通过改变噪声强度或者输入电流,观察点火频率受到的影响.分析了在神经元点火后重新设置膜电位所引起的误差.把该IF网络用于图像边缘检测中,取得了较好的效果.
英文摘要：
The effect of exponentially decaying threshold on a Gaussian white-noise driven integrate -and-fire（IF） neuron is studied,especially on the mean and standard variance of the interspike interval.The results indicate that for slow threshold decay,the IF model shows a minimum in the variate coefficient of interspike interval whenever the firing rate of the neuron matches the decay rate of the threshold.The effect on the firing rate can be seen by change the noise intensity or the input current.The errors are analyzed which are caused by resetting the membrane potential after firing.The application to image edge detection shows the good effect of the IF network.
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