首页> 外文会议>Annual Computational Neuroscience Meeting(CNS'02); 20020721-20020725; Chicago,IL; US >Effects of noise on recurrence in networks of spiking neurons
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Effects of noise on recurrence in networks of spiking neurons

机译:噪声对尖峰神经元网络复发的影响

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We use mathematical analysis and numerical simulations to study the effects of recurrent synaptic connections in neural networks. These recurrent effects can be analyzed by expanding a spike probability function about the membrane potential in the absence of connections. This expansion can be written as a series of loops representing the recurrent signal transmission. Conditions for convergence of the series reveal the number of loops that are significant for the system's dynamics. This method is applied to a pair of mutually coupled spiking neurons to show how the membrane potential and cross-correlation function is changed by recurrence.
机译:我们使用数学分析和数值模拟来研究神经网络中递归突触连接的影响。可通过在不存在连接的情况下扩展关于膜电位的尖峰概率函数来分析这些复发效应。这种扩展可以写成表示循环信号传输的一系列循环。该系列收敛的条件揭示了对于系统动态重要的循环数。此方法应用于一对相互耦合的加标神经元,以显示膜电势和互相关功能如何通过复发而改变。

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