摘要
模态(motif)作为复杂网络的基本单元在完成丰富的网络功能的过程中起着很重要的作用。本文基于HR模型采用流水线的设计方法在现场可编程门阵列FPGA(field programmable gate array)中实现了13种基本motif,并对不同motif在耦合强度作用下的放电特性进行了同步分析,得出了motif同步特性和结构特性相关关系的结论。研究结果证明了所设计的FPGA平台在实现motif和分析motif同步特性上的可靠性,为将来FPGA实现基于motif的大规模神经元网络奠定了基础。
As a basic unit in complex network,motif plays an important role in completing the network functions. Based on the Hindmarsh-Rose(HR)model,pipeline design method is adopted in this paper with field programmable gate array(FPGA)to implemente 13 kinds of basic motifs. Moreover,the synchronization analysis of different motifs are conducted under different cou-pling strengths,and it is concluded that the synchronization properties of motifs are closely related with their structures. The result proves the reliability of FPGA in the implementation of motifs and their synchronous analysis,which provides reference for the FPGA implementation of motif-based large-scale neuronal network in the future.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2016年第S1期31-35,共5页
Proceedings of the CSU-EPSA
关键词
模态
神经元网络
现场可编程门阵列
同步
motif
neuronal network
field programmable gate array(FPGA)
synchronization