Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses
Auto- and crosscorrelograms for the spike response of leaky integrate-and-fire neurons with slow synapses
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DOI：
10.1103/physrevlett.96.028101
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发表时间：
2006-01-20
影响因子：
8.6
通讯作者：
Parga, N
中科院分区：
文献类型：
--
作者：
Moreno-Bote, R;Parga, N
对简单但真实的神经元模型在噪声存在下的响应特性的分析描述仍然是缺乏的。我们完全确定了接收到一些常见的慢滤波白噪声的单个和一对泄漏积分与点火神经元的二阶放电统计量。特别地，从Moreno-Bote和Parga[Phys]先前介绍的绝热近似的改进中获得了单元对的输出尖峰序列的自相关函数和互相关函数。莱特牧师。92、028102(2004年)]。这两个功能定义了神经元之间的放电可变性和放电同步性，对于理解神经元之间的通信具有重要意义。
An analytical description of the response properties of simple but realistic neuron models in the presence of noise is still lacking. We determine completely up to the second order the firing statistics of a single and a pair of leaky integrate-and-fire neurons receiving some common slowly filtered white noise. In particular, the auto- and cross-correlation functions of the output spike trains of pairs of cells are obtained from an improvement of the adiabatic approximation introduced previously by Moreno-Bote and Parga [Phys. Rev. Lett. 92, 028102 (2004)]. These two functions define the firing variability and firing synchronization between neurons, and are of much importance for understanding neuron communication.