Abstract

There has been a recent explosion of interest in neuromorphic computing capable of processing sophisticated and large-scale information based on spike coding, which has advantages in the implementation on electronic or optical neuromorphic systems. The neural engineering framework (NEF), a formal method for mapping attractor networks and control-theoretic algorithms to spiking neural networks, provides us a way to implement neuromorphic or numerical computing. In this paper, we implement the NEF on an optoelectronic architecture based on a photonic neuromorphic system. We discuss how electronic signals can be encoded to patterns of optical pulses, processed in the dynamic neural activity of recurrent network, and finally decoded back to the desired signals. These methods take advantage of the mechanism of spiking laser neurons and the wavelength division multiplexing protocol and explore the rapidity of optical pulses. Our work is mainly simulation with qualitative analysis. Simulation studies demonstrate three NEF principles on the proposed architecture with signals on nanosecond time scale, which run about six orders of magnitude faster than electronic counterparts on the NEF implementation. The present architecture can be also used in a broad domain of applications where more complex neuromorphic or numerical computing is necessary.

© 2017 Optical Society of America

Photonic spiking neural networks with event-driven femtojoule optoelectronic neurons based on Izhikevich-inspired model

Yun-Jhu Lee, Mehmet Berkay On, Xian Xiao, Roberto Proietti, and S. J. Ben Yoo
Opt. Express 30(11) 19360-19389 (2022)

On-chip spiking neural networks based on add-drop ring microresonators and electrically reconfigurable phase-change material photonic switches

Qiang Zhang, Ning Jiang, Yiqun Zhang, Anran Li, Huanhuan Xiong, Gang Hu, Yongsheng Cao, and Kun Qiu
Photon. Res. 12(4) 755-766 (2024)

Hardware-algorithm collaborative computing with photonic spiking neuron chip based on an integrated Fabry–Perot laser with a saturable absorber

Shuiying Xiang, Yuechun Shi, Xingxing Guo, Yahui Zhang, Hongji Wang, Dianzhuang Zheng, Ziwei Song, Yanan Han, Shuang Gao, Shihao Zhao, Biling Gu, Hailing Wang, Xiaojun Zhu, Lianping Hou, Xiangfei Chen, Wanhua Zheng, Xiaohua Ma, and Yue Hao
Optica 10(2) 162-171 (2023)

Neuromorphic regenerative memory optoelectronic oscillator

Huan Tian, Lingjie Zhang, Zhen Zeng, Weiqiang Lyu, Zhenwei Fu, Ziwei Xu, Zhiyao Zhang, Yali Zhang, Shangjian Zhang, Heping Li, and Yong Liu
Opt. Express 31(17) 27529-27542 (2023)

Photonic spiking neural network based on excitable VCSELs-SA for sound azimuth detection

Zi Wei Song, Shui Ying Xiang, Zhen Xing Ren, Su Hong Wang, Ai Jun Wen, and Yue Hao
Opt. Express 28(2) 1561-1573 (2020)