Noisy image segmentation based on synchronous dynamics of coupled photonic spiking neurons

被引：2
|
作者：
Han, Yanan [1 ]
Xiang, Shuiying [1 ,2 ]
Song, Ziwei [1 ]
Gao, Shuang [1 ]
Zhang, Yahui [1 ]
Guo, Xingxing [1 ]
Hao, Yue [2 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Xidian Univ, Sch Microelect, State Key Discipline Lab Wide Bandgap Semicond Tec, Xian 710071, Peoples R China
来源：
OPTICS EXPRESS | 2023年 / 31卷 / 22期
基金：
中国国家自然科学基金;
关键词：
NEURAL-NETWORKS; SYNCHRONIZATION;
D O I：
10.1364/OE.498191
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
The collective dynamics in neural networks is essential for information processing and has attracted much interest on the application in artificial intelligence. Synchronization is one of the most dominant phenomenon in the collective dynamics of neural network. Here, we propose to use the spiking dynamics and collective synchronization of coupled photonic spiking neurons for noisy image segmentation. Based on the synchronization mechanism and synchronization control, the noised pattern segmentation is demonstrated numerically. This work provides insight into the possible application based on the collective dynamics of large-scale photonic networks and opens a way for ultra-high speed image processing.
引用
收藏
页码：35484 / 35492
页数：9
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