突触异质性对生物神经网络振动共振的影响

Sukruye Nihal Agaoglu, Ali Calim, M. Özer, M. Uzuntarla
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引用次数: 1

摘要

本文研究了可兴奋神经系统中无标度网络拓扑结构的振动共振现象。研究了神经网络中突触电导率加权产生的非均质性对弱信号检测性能的影响。采用带电耦合的FitzHugh-Nagumo神经元模型作为可激系统。在数值模拟结果中;可见,无标度网络的非加权或加权状态、突触电导率和平均连通性对基于振动共振的神经元群信息编码性能起着至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of synaptic heterogenity on vibrational resonance in biological neural networks
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.
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