Synchronization of reservoir computers with applications to communications

Tongfeng Weng, Jia Song, Huijie Yang, Changgui Gu, Jie Zhang, Michael Small

Research output: Contribution to journalArticle


We consider different reservoir computers learning and modeling the same chaotic system. We find that by transmitting a common signal, synchronization will be achieved between these superficially distinct reservoir computers. We further show that even when the transmitted signal is contaminated with extensive observational noise, synchronization will still occur. Moreover, utilizing a cascaded synchronization scheme, we can successfully recover a chaotic masking signal hidden in the transmitter. Our findings reveal that synchronization is a common feature of reservoir computers upon learning chaotic systems.

Original languageEnglish
Article number123453
JournalPhysica A: Statistical Mechanics and its Applications
Publication statusE-pub ahead of print - 6 Nov 2019


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