Stable propagation of activity pulses in populations of spiking neurons
Stable propagation of activity pulses in populations of spiking neurons
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DOI：
10.1162/089976602753633358
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发表时间：
2002-05-01
影响因子：
2.9
通讯作者：
Gerstner, W
中科院分区：
文献类型：
--
作者：
Kistler, WM;Gerstner, W
我们研究了具有前馈耦合的神经元网络中尖峰脉冲的传播。神经元是尖峰响应类型，其放电概率线性依赖于膜电位。在放电之后，神经元进入不应期。尖峰数据包的发射时间分布的时刻，以便允许尖峰数据包的演变，因为它从一个层传播到下一个的分析处理。分析结果和模拟表明，依赖于突触耦合强度，具有恒定波形的数据包的稳定传播是可能的。这一观察的关键既不是放电阈值的存在，也不是S形增益函数，两者都不存在于我们的模型中，而是神经元的不应行为。
We investigate the propagation of pulses of spike activity in a neuronal network with feedforward couplings. The neurons are of the spike-response type with a firing probability that depends linearly on the membrane potential. After firing, neurons enter a phase of refractoriness. Spike packets are described in terms of the moments of the firing-time distribution so as to allow for an analytical treatment of the evolution of the spike packet as it propagates from one layer to the next. Analytical results and simulations show that depending on the synaptic coupling strength, a stable propagation of the packet with constant waveform is possible. Crucial for this observation is neither the existence of a firing threshold nor a sigmoidal gain function-both are absent in our model-but the refractory behavior of the neurons.