Reservoir computing with a single time-delay autonomous Boolean node

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
Nicholas D HaynesDaniel J Gauthier

Abstract

We demonstrate reservoir computing with a physical system using a single autonomous Boolean logic element with time-delay feedback. The system generates a chaotic transient with a window of consistency lasting between 30 and 300 ns, which we show is sufficient for reservoir computing. We then characterize the dependence of computational performance on system parameters to find the best operating point of the reservoir. When the best parameters are chosen, the reservoir is able to classify short input patterns with performance that decreases over time. In particular, we show that four distinct input patterns can be classified for 70 ns, even though the inputs are only provided to the reservoir for 7.5 ns.

References

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Oct 15, 2014·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·David P RosinDaniel J Gauthier

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Citations

Mar 5, 2016·Scientific Reports·François DuportSerge Massar
Jun 18, 2015·Frontiers in Computational Neuroscience·Miguel C SorianoIngo Fischer
Jul 12, 2019·Proceedings. Mathematical, Physical, and Engineering Sciences·Matthew DaleMartin A Trefzer
Jul 23, 2019·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Joseph D HartRajarshi Roy
Jul 2, 2018·Chaos·Zhixin LuEdward Ott
Nov 20, 2018·Nature Communications·Botond MolnárMária Ercsey-Ravasz
Jan 3, 2019·Chaos·Daniel CanadayDaniel J Gauthier
Oct 1, 2016·Physical Review Letters·Michiel HermansSerge Massar
Nov 12, 2020·Sensors·Mohammad H HasanFadi Alsaleem
Oct 30, 2020·Optics Express·Luxiao SangYuncai Wang
Apr 6, 2020·Neural Networks : the Official Journal of the International Neural Network Society·P R VlachasP Koumoutsakos
Aug 21, 2021·Physical Review. E·Rui XiaoYing-Cheng Lai
Oct 2, 2021·Scientific Reports·Md Raf E Ul ShougatEdmon Perkins

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