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Oscillator Processing Unit
Oscillators are physical systems that are capable of complex dynamics. Through the architecture of physical reservoir computing, these complex dynamics can be repurposed as a computational resource. Effectively, the oscillator is an analog neural network, which can be retrained for different tasks.
An example of this is on the right, in which a van der Pol (vdP) oscillator acts as a reservoir. Some selected publications are provided below.
Scientific R&D of the OPU is interdisciplinary, involving physics, mathematics, mechanical engineering, and electrical engineering.
Selected Publications
Edmon Perkins, “Comparison of stochastic adaptation and stochastic resonance”, Physical Review E (2024).
Edmon Perkins, “The Duffing Adaptive Oscillator”, Nonlinear Dynamics (2024).
Md Raf E Ul Shougat, XiaoFu Li, Edmon Perkins, “Self-learning physical reservoir computer”, Physical Review E (2024).
Md Raf E Ul Shougat, XiaoFu Li, Edmon Perkins, “Multiplex-free physical reservoir computing with an adaptive oscillator”, Physical Review E (2024).
Md Raf E Ul Shougat, Edmon Perkins, “The van der Pol Physical Reservoir Computer”, Neuromorphic Computing and Engineering (2023).
Md Raf E Ul Shougat, XiaoFu Li, Siyao Shao, Kathleen McGarvey, Edmon Perkins, “Hopf Physical Reservoir Computer for Reconfigurable Sound Recognition”, Scientific Reports (2023).
Md Raf E Ul Shougat, XiaoFu Li, Edmon Perkins, “Dynamic Effects on Reservoir Computing with a Hopf Oscillator”, Physical Review E (2022).
Md Raf E Ul Shougat, XiaoFu Li, Tushar Mollik, Edmon Perkins, “A Hopf Physical Reservoir Computer”, Scientific Reports (2021).
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