Echo State Property Linked to an Input: Exploring a Fundamental Characteristic of Recurrent Neural Networks

DOI10.1162/NECO_a_00411zbMath1269.92006OpenAlexW2148520247WikidataQ47643941 ScholiaQ47643941MaRDI QIDQ5327185

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Publication date: 7 August 2013

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

Full work available at URL: https://doi.org/10.1162/neco_a_00411

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Computational methods for problems pertaining to biology (92-08)

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Cites Work

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• Reservoir computing approaches to recurrent neural network training
• Lower bounds of the topological entropy for nonautonomous dynamical systems
• Attractivity and bifurcation for nonautonomous dynamical systems
• Random perturbation methods with applications in science and engineering
• On the Mean Value Theorem, Inequality, and Inclusion
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations

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