Enhancement of neuronal coherence by diversity in coupled Rulkov-map models
Enhancement of neuronal coherence by diversity in coupled Rulkov-map models
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DOI：
10.1016/j.physa.2007.10.040
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发表时间：
2008-02
影响因子：
3.3
通讯作者：
Hanshuang Chen;Jiqian Zhang;Jianqing Liu
中科院分区：
文献类型：
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作者：
Hanshuang Chen;Jiqian Zhang;Jianqing Liu
我们研究了多样性对空间扩展系统中具有全局或扩散耦合的尖峰动态的影响，该系统由基于地图的神经元局部建模。系统参数D的方差被用来衡量多样性。研究发现，尖峰的规则性随着D的变化而达到最大值，表明发生了多样性诱导的相干共振。此外，通过增加耦合强度，可以大大增强该系统中的色散诱导相干共振。我们的分析表明，这些现象具有内在的相关性，一个单一的神经元的分叉功能和通过耦合的相互作用。这些结果表明，多样性在提高神经网络的时间精度方面起着建设性的作用。
We study the influence of diversity on the dynamics of spiking in spatially extended systems with global or diffusive couplings, which is locally modeled by a map-based neuron. The variance of the system’s parameter D is used to measure the diversity. It is found that the regularity of spikes reaches a maximum with a variation in D, indicating the occurrence of diversity-induced coherence resonance. Moreover, diversity-induced coherence resonance in this system can be greatly enhanced by increasing the coupling strength. Our analysis shows that these phenomena have inherent relevance to both the bifurcation feature of a single neuron and interaction through couplings. These results may exhibit that diversity plays a constructive role in enhancing the time precision of firing in a neural network.