Spiking photonic reservoir computing system based on photonic spiking neuron

Dongliang Zhang; Zeyang Fan; Yihang Dan; Tian Zhang; Jian Dai; Kun Xu

doi:10.1117/12.3023642

18 March 2024 Spiking photonic reservoir computing system based on photonic spiking neuron

Dongliang Zhang, Zeyang Fan, Yihang Dan, Tian Zhang, Jian Dai, Kun Xu

Proceedings Volume 13104, Advanced Fiber Laser Conference (AFL2023); 131044X (2024) https://doi.org/10.1117/12.3023642
Event: Advanced Fiber Laser Conference (AFL2023), 2023, Shenzhen, China

Abstract

A spiking photonic reservoir computing system based on photonic spiking neuron is proposed in this paper. This system utilizes the high nonlinearity and excitation characteristics of selected photonic spiking neuron to perform nonlinear classification task. It has been proved that the proposed spiking reservoir can well perform nonlinear classification task. Furthermore, our research also study the effect of different input dimensions and output processing methods on the system. The system can still have good performance under a low input dimension. The results show that the proposed system has strong learning ability and can be used to implement more machine learning tasks.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dongliang Zhang, Zeyang Fan, Yihang Dan, Tian Zhang, Jian Dai, and Kun Xu "Spiking photonic reservoir computing system based on photonic spiking neuron", Proc. SPIE 13104, Advanced Fiber Laser Conference (AFL2023), 131044X (18 March 2024); https://doi.org/10.1117/12.3023642

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