Signal Propagation in Neuronal Networks with Hierarchical Structure

被引：0
|
作者：
Wang, Zhihong [1 ]
Hao, Chongqing [1 ]
Li, Zheng [1 ]
机构：
[1] Hebei Univ Sci & Technol, Sch Elect Engn, Shijiazhuang 050018, Peoples R China
来源：
PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA) | 2016年
关键词：
Neuronal networks; Signal Propagation; Firing Rate; Hierarchical Structure; SPIKING;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To study firing signal propagation of hierarchical neuronal network, this paper investigates a neuronal network with FHN (FitzHugh-Nagumo) nodes. Average firing rate is applied to show the performance of the propagation. Signal raster plots in different layer demonstrate intuitively propagation process. Moreover, effects of the connection probability, the random connection number, the number of branches and the coupling strength on the propagation of firing rate in different layer are analyzed. Appropriate parameters mentioned above contribute to firing signal propagation. Finally, we found that white noise has a positive effect on the propagation of firing rate.
引用
收藏
页码：1824 / 1827
页数：4
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