The role of delay-times in delay-based Photonic Reservoir Computing

2021/12/22 by Tim Hülser, Felix Köster, Hülser, Tobias +5 · 2 citations
Computer Science · Engineering · #Computational Physics (physics.comp-ph) #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Neural Networks and Reservoir Computing #Optical Network Technologies #Photonic and Optical Devices

paper · pdf · doi:10.48550/arxiv.2112.11830

openalex publication_date 2021/12/22 · openalex created_date 2022/05/05 · openalex updated_date 2026/07/28

Abstract

Delay-based reservoir computing has gained a lot of attention due to the relative simplicity with which this concept can be implemented in hardware. However,there is still an misconception about the relationship between the delay-time and the input clock-cycle which has noticeable consequences for the performance. We review the existing literature on this subject and introduce the concept of delay-based reservoir computing in a manner that demonstrates that there is no predefined relationship between these two times-scales. Further, we discuss ways to improve the computing performance of a reservoir formed by delay-coupled oscillators and show the crucial impact of delay-time tuning in those multi-delay systems.

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• Wavefront propagation in a bistable dual-delayed-feedback oscillator: analogy to networks with nonlocal interactions
• Prediction performance of random reservoirs with different topology for nonlinear dynamical systems with different number of degrees of freedom

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