论文标题
带有基于随机电导的突触输入的泄漏整合和开火神经元的发射速率,衰减时间短
Firing rate of the leaky integrate-and-fire neuron with stochastic conductance-based synaptic inputs with short decay times
论文作者
论文摘要
我们计算出泄漏的集成和传火(LIF)神经元的发射速率,当突触衰减时间比膜时间常数短得多时,具有基于随机电导的输入。为一系列生物物理现实主义参数提供了我们的分析结果与数字模拟的比较。
We compute the firing rate of a leaky integrate-and-fire (LIF) neuron with stochastic conductance-based inputs in the limit when synaptic decay times are much shorter than the membrane time constant. A comparison of our analytical results to numeric simulations is presented for a range of biophysically-realistic parameters.