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Resilience in collective behaviors of "next generation reservoir computer" oscillators via transmitting signal
Xiaohua Cai1, Lei Zhou2, Mengyuan Lü1
1Institute of Information Economy and Alibaba Business College, Hangzhou Normal University, Hangzhou 311121, China.
Abstract:
We study resilience in collective behaviors of "next-generation reservoir computers" in terms of transmitted signal distortion. Specifically, we introduce an interactive communication scheme and achieve synchronization between two "next-generation reservoir computer" oscillators. A dynamical transition from synchronization to desynchronization emerges with the growth of signal distortion. Remarkably, we show that the order of clique has no significant effect on the robustness of synchronization. The effectiveness of our proposed scheme is illustrated via the classical dynamical models and qualitative analysis. Our work reveals the function of transmitted signal distortion in shaping collective behaviors of machine learning oscillators.
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