Litcius/Paper detail

Role of delay-times in delay-based photonic reservoir computing [Invited]

Tim Hülser, Felix Köster, Lina Jaurigue, Kathy Lüdge

2022Optical Materials Express84 citationsDOIOpen Access PDF

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, unnecessary constraints are commonly placed on the relationship between the delay-time and the input clock-cycle, which can have a detrimental effect on 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 no predefined relationship between the delay-time and the input clock-cycle is required for this computing concept to work. Choosing the delay-times independent of the input clock-cycle, one gains an important degree of freedom. Consequently, we discuss ways to improve the computing performance of a reservoir formed by delay-coupled oscillators and show the impact of delay-time tuning in such systems.

Topics & Concepts

Reservoir computingComputer sciencePropagation delayTransmission delayDelay calculationGroup delay and phase delayNetwork delayProcessing delayPhotonicsElectronic engineeringReal-time computingDistributed computingTelecommunicationsComputer networkTransmission (telecommunications)Bandwidth (computing)PhysicsEngineeringOpticsMachine learningNetwork packetRecurrent neural networkArtificial neural networkNeural Networks and Reservoir ComputingOptical Network TechnologiesAdvanced Memory and Neural Computing