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Enhanced memory capacity of a neuromorphic reservoir computing system based on a VCSEL with double optical feedbacks
Science China Information Sciences ( IF 7.3 ) Pub Date : 2020-05-12 , DOI: 10.1007/s11432-020-2862-7
Xingxing Guo , Shuiying Xiang , Yahui Zhang , Aijun Wen , Yue Hao

In this paper, a neuromorphic reservoir computing (RC) system with enhanced memory capacity (MC) based on a vertical-cavity surface-emitting laser (VCSEL) subject to double optical feedbacks (DOF) is proposed and investigated numerically. The aim of this study is to explore the MC of the proposed system. For the purpose of comparison, the MC of the VCSEL-based RC system with single optical feedback (SOF) is also taken into account. It is found that, compared with the VCSEL-based RC system subject to SOF, enhanced MC can be obtained for the VCSEL-based RC system with DOF. Besides, the effects of feedback strength, injected strength, frequency detuning as well as injection current on the MC of the VCSEL-based RC system with DOF are considered. Moreover, the influence of feedback delays is also carefully examined. Thus, such proposed VCSEL-based RC system with DOF provides a prospect for the further development of the neuromorphic photonic system based on RC.



中文翻译:

具有双光反馈的基于VCSEL的神经形态储层计算系统的增强的存储容量

本文提出了一种基于垂直腔面发射激光器(VCSEL)的具有双光反馈(DOF)的神经形态储能计算(RC)系统,并对其进行了数值研究。这项研究的目的是探索提出的系统的MC。为了进行比较,还考虑了具有单光反馈(SOF)的基于VCSEL的RC系统的MC。发现,与受SOF约束的基于VCSEL的RC系统相比,具有DOF的基于VCSEL的RC系统可以获得增强的MC。此外,还考虑了反馈强度,注入强度,频率失谐以及注入电流对具有DOF的基于VCSEL的RC系统的MC的影响。此外,还仔细检查了反馈延迟的影响。从而,

更新日期:2020-05-12
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