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Predicting hidden structure in dynamical systems

The dynamical properties of a nonlinear system can be learned from its time-series data, but is it possible to predict what happens when the system is tuned far away from its training values?

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Fig. 1: A reservoir computer is trained on time-series data of a dynamical system — such as a fox–rabbit predator–prey system — below a bifurcation point.


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Correspondence to Daniel J. Gauthier.

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Competing interests

D.J.G. is a co-founder of ResCon Technologies, LLC, which focuses on commercializing reservoir computers for edge computing applications.

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Gauthier, D.J., Fischer, I. Predicting hidden structure in dynamical systems. Nat Mach Intell 3, 281–282 (2021).

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