Strange properties of linear reservoirs in the infinitely large limit for prediction of continuous-time signals
DOI10.1007/s10955-022-03040-zzbMath1505.82047OpenAlexW4311878244MaRDI QIDQ2106521
Alexander Hsu, Sarah E. Marzen
Publication date: 16 December 2022
Published in: Journal of Statistical Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10955-022-03040-z
Gaussian processes (60G15) Central limit and other weak theorems (60F05) Artificial neural networks and deep learning (68T07) Random matrices (probabilistic aspects) (60B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Random matrices (algebraic aspects) (15B52)
Cites Work
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- Are biological systems poised at criticality?
- On the computational power of circuits of spiking neurons
- Random matrices: universality of ESDs and the circular law
- Do reservoir computers work best at the edge of chaos?
- On explaining the surprising success of reservoir computing forecaster of chaos? The universal machine learning dynamical system with contrast to VAR and DMD
- Statistical Physics of Particles
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