THRESHOLD SHAPE CORRESPONDING TO A GAMMA FIRING DISTRIBUTION IN AN ORNSTEIN-UHLENBECK NEURONAL MODEL
THRESHOLD SHAPE CORRESPONDING TO A GAMMA FIRING DISTRIBUTION IN AN ORNSTEIN-UHLENBECK NEURONAL MODEL
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奥恩斯坦-乌伦贝克神经模型中伽马发射分布对应的阈值形状
DOI：
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
C. Zucca
中科院分区：
文献类型：
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作者：
L. Sacerdote;C. Zucca
我们介绍了两种数值方法来确定一个时间依赖的边界的形状的Ornstein-Uhlenbeck过程，对应于指定的第一通道时间概率密度函数。将这些方法应用于随机漏积分和再神经元模型，可以检验特定艾德密度作为峰间期分布近似的可靠性。伽玛和逆高斯密度的情况下进行了讨论。
We introduce two numerical methods to determine the shape of a time dependent boundary for the Ornstein-Uhlenbeck process that corresponds to an assigned rst passage time probability density function. The application of these methods to the stochastic leaky integrate and re neuronal model allows to check the reliability of speci ed densities as approximation of the interspike interval distribution. The cases of the Gamma and of the inverse Gaussian densities are discussed.