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Attractor-merging Crises and Intermittency in Reservoir Computing

Attractor-merging Crises and Intermittency in Reservoir Computing

17 April 2025
Tempei Kabayama
Motomasa Komuro
Yasuo Kuniyoshi
Kazuyuki Aihara
Kohei Nakajima
ArXiv (abs)PDFHTML

Papers citing "Attractor-merging Crises and Intermittency in Reservoir Computing"

7 / 7 papers shown
Title
Exploiting Chaotic Dynamics as Deep Neural Networks
Exploiting Chaotic Dynamics as Deep Neural Networks
Shuhong Liu
Nozomi Akashi
Qingyao Huang
Yasuo Kuniyoshi
Kohei Nakajima
54
4
0
29 May 2024
Finite-time Lyapunov exponents of deep neural networks
Finite-time Lyapunov exponents of deep neural networks
L. Storm
Hampus Linander
J. Bec
K. Gustavsson
Bernhard Mehlig
44
6
0
21 Jun 2023
Seeing double with a multifunctional reservoir computer
Seeing double with a multifunctional reservoir computer
Andrew Flynn
V. Tsachouridis
Andreas Amann
65
8
0
09 May 2023
Machine learning prediction of critical transition and system collapse
Machine learning prediction of critical transition and system collapse
Ling-Wei Kong
Hua-wei Fan
C. Grebogi
Y. Lai
57
85
0
02 Dec 2020
Multifunctionality in a Reservoir Computer
Multifunctionality in a Reservoir Computer
Andrew Flynn
V. Tsachouridis
Andreas Amann
49
30
0
10 Aug 2020
Designing spontaneous behavioral switching via chaotic itinerancy
Designing spontaneous behavioral switching via chaotic itinerancy
Katsuma Inoue
Kohei Nakajima
Yasuo Kuniyoshi
67
37
0
13 Feb 2020
Optimal short-term memory before the edge of chaos in driven random
  recurrent networks
Optimal short-term memory before the edge of chaos in driven random recurrent networks
T. Haruna
Kohei Nakajima
131
18
0
24 Dec 2019
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