Reservoir computing with 3D nanowire networks-Reference-Cited by-同舟云学术

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Reservoir computing with 3D nanowire networks

Published:2022-10 Issue: Volume:154 Page:122-130
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Daniels R.K.^ORCID,Mallinson J.B.^ORCID,Heywood Z.E.^ORCID,Bones P.J.^ORCID,Arnold M.D.,Brown S.A.^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference45 articles.

1. Neuromorphic atomic switch networks;Avizienis;PLoS One,2012

2. Training with noise is equivalent to Tikhonov regularization;Bishop;Neural Computation,1995

3. Pattern recognition;Bishop;Machine Learning,2006

4. Asymptotic behavior of memristive circuits;Caravelli;Entropy,2019

5. 2021 Roadmap on neuromorphic computing and engineering;Christensen,2021

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

2. Experimental Demonstration of Reservoir Computing with Self‐Assembled Percolating Networks of Nanoparticles;Advanced Materials;2024-05-10

3. Self-organizing neuromorphic nanowire networks are stochastic dynamical systems;2024-04-04

4. Physical reservoir computing with emerging electronics;Nature Electronics;2024-03-12

5. Phase-field model of filament formation and growth in percolating memristive systems of nanoparticles;Materials Today Communications;2024-03

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