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Effects of synaptic heterogenity on vibrational resonance in biological neural networks

机译:突触异质性对生物神经网络振动共振的影响

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In this study, vibrational resonance phenomena is investigated for topologies of scale-free network in excitable neural system. Effect of heterogeneity which emerges from weightening synaptic conductivity in neural network on performance of weak signal detection is studied. FitzHugh-Nagumo neuron model with electrical coupling is used as excitable system. In the result of numerical simulations; it is seen that the state of the scale-free network being unweighted or weighted, synaptic conductivity and average connectivity degree play a crucial role for determining performance of information coding of neuron population based on vibrational resonance.
机译:在这项研究中,振动共振现象被研究为可激励神经系统中无标度网络的拓扑。研究了加权神经网络中突触传导性所产生的异质性对微弱信号检测性能的影响。具有电耦合的FitzHugh-Nagumo神经元模型被用作激励系统。数值模拟的结果;可以看出,无标度网络的状态未加权或加权,突触传导性和平均连通度在决定基于振动共振的神经元群体的信息编码性能中起着至关重要的作用。

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