Do reservoir computers work best at the edge of chaos?-Reference-Cited by-同舟云学术

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Do reservoir computers work best at the edge of chaos?

Published:2020-12 Issue:12 Volume:30 Page:121109
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Carroll T. L.¹^ORCID

Affiliation:

1. U.S. Naval Research Lab, Washington, DC 20375, USA

Funder

US Naval Research Lab internal funding

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0038163

Reference23 articles.

1. Computation at the edge of chaos: Phase transitions and emergent computation

2. Attractor reconstruction by machine learning

3. Observing spatio-temporal dynamics of excitable media using reservoir computing

4. Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronization and cryptography

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear integrated optical resonators for optical fibre data recovery;Optics Express;2024-09-09

2. From ‘follow the leader’ to autonomous swarming: physical reservoir computing in two dimensions;Neuromorphic Computing and Engineering;2024-09-01

3. Memristive Devices Based on Necklace-like Structure Ag@TiO₂ Nanowire Networks for Neuromorphic Learning and Reservoir Computing;ACS Applied Nano Materials;2024-08-28

4. Tuning the activation function to optimize the forecast horizon of a reservoir computer;Journal of Physics: Complexity;2024-07-12

5. Multi-task and continual-learning capabilities of reservoir computing applied to speech recognition;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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