Consistency Hierarchy of Reservoir Computers

We study the propagation and distribution of information-carrying signals injected in dynamical systems serving as reservoir computers. Through different combinations of repeated input signals, a multivariate correlation analysis reveals measures known as the consistency spectrum and consistency cap...

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Veröffentlicht in:IEEE transaction on neural networks and learning systems 2022-06, Vol.33 (6), p.2586-2595
Hauptverfasser: Jungling, Thomas, Lymburn, Thomas, Small, Michael
Format: Artikel
Sprache:eng
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Zusammenfassung:We study the propagation and distribution of information-carrying signals injected in dynamical systems serving as reservoir computers. Through different combinations of repeated input signals, a multivariate correlation analysis reveals measures known as the consistency spectrum and consistency capacity. These are high-dimensional portraits of the nonlinear functional dependence between input and reservoir state. For multiple inputs, a hierarchy of capacities characterizes the interference of signals from each source. For an individual input, the time-resolved capacities form a profile of the reservoir's nonlinear fading memory. We illustrate this methodology for a range of echo state networks.
ISSN:2162-237X
2162-2388
DOI:10.1109/TNNLS.2021.3119548