Memory in linear recurrent neural networks in continuous time

DOI10.1016/j.neunet.2009.08.008zbMath1396.68093OpenAlexW2062004915WikidataQ39900109 ScholiaQ39900109MaRDI QIDQ1784560

Michiel Hermans, Benjamin Schrauwen

Publication date: 27 September 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.08.008

zbMATH Keywords

linear dynamicsrecurrent neural networkscontinuous timememory functionreservoir computing

Mathematics Subject Classification ID

Related Items (9)

Unnamed Item ⋮ Synthesis of recurrent neural networks for dynamical system simulation ⋮ Memristor Models for Machine Learning ⋮ Short-Term Memory Capacity in Networks via the Restricted Isometry Property ⋮ A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks ⋮ Unnamed Item ⋮ Dimension reduction in recurrent networks by canonicalization ⋮ Unnamed Item ⋮ Memory and forecasting capacities of nonlinear recurrent networks

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• Analysis and Design of Echo State Networks

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