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Journal Articles

Chimera resonance in networks of chaotic maps

Elena Rybalova, Vasilii Nechaev, Eckehard Schöll, Galina Strelkova

Chaos 33, 093138 (2023)

https://doi.org/10.1063/5.0164008

Published: September 2023

View article titled, Chimera resonance in networks of chaotic maps

Journal Articles

Transient chimera states emerging from dynamical trapping in chaotic saddles

Everton S. Medeiros, Oleh Omel’chenko, Ulrike Feudel

Chaos 33, 093130 (2023)

https://doi.org/10.1063/5.0155857

Published: September 2023

View article titled, Transient chimera states emerging from dynamical trapping in chaotic saddles

Journal Articles

The attractor structure of functional connectivity in coupled logistic maps

Venetia Voutsa, Michail Papadopoulos, Vicky Papadopoulou Lesta, Marc-Thorsten Hütt

Chaos 33, 083147 (2023)

https://doi.org/10.1063/5.0150889

Published: August 2023

View article titled, The attractor structure of functional connectivity in coupled logistic maps

Includes: Supplementary data

Journal Articles

A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise

Zhihang Hao, Chunhua Yang, Keke Huang

Chaos 33, 083119 (2023)

https://doi.org/10.1063/5.0164484

Published: August 2023

View article titled, A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise

Journal Articles

Recurrence plots bridge deterministic systems and stochastic systems topologically and measure-theoretically

Yoshito Hirata, Masanori Shiro

Chaos 33, 083118 (2023)

https://doi.org/10.1063/5.0156945

Published: August 2023

View article titled, Recurrence plots bridge deterministic systems and stochastic systems topologically and measure-theoretically

Includes: Supplementary data

Journal Articles

Deep Learning for chaos detection

Roberto Barrio, Álvaro Lozano, Ana Mayora-Cebollero, Carmen Mayora-Cebollero, Antonio Miguel, Alfonso Ortega, Sergio Serrano, Rubén Vigara

Chaos 33, 073146 (2023)

https://doi.org/10.1063/5.0143876

Published: July 2023

View article titled, Deep Learning for chaos detection

Journal Articles

System dynamics monitoring using PIC micro-controller-based PLSE

Guy Morgand Djeufa Dagoumguei, Samuel Tagne, J. S. Armand Eyebe Fouda, Wolfram Koepf

Chaos 33, 073118 (2023)

https://doi.org/10.1063/5.0136234

Published: July 2023

View article titled, System dynamics monitoring using PIC micro-controller-based PLSE

Journal Articles

Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction

Liufei Yang, Wei Lin, Siyang Leng

Chaos 33, 063101 (2023)

https://doi.org/10.1063/5.0144310

Published: June 2023

View article titled, Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction

Includes: Supplementary data

Journal Articles

Bifurcations and transition to chaos in generalized fractional maps of the orders 0 < α < 1

Mark Edelman, Avigayil B. Helman, Rasa Smidtaite

Chaos 33, 063123 (2023)

https://doi.org/10.1063/5.0151812

Published: June 2023

View article titled, Bifurcations and transition to chaos in generalized fractional maps of the orders 0 < <em>α</em> < 1

Journal Articles

Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Massimiliano Zanin

Chaos 33, 033114 (2023)

https://doi.org/10.1063/5.0136492

Published: March 2023

View article titled, Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Journal Articles

A novel method to measure static and dynamic complexity of time series based on visualization curves

Wei Dong, Shuqing Zhang, Xiaowen Zhang, Wanlu Jiang, Liguo Zhang

Chaos 33, 013135 (2023)

https://doi.org/10.1063/5.0119415

Published: January 2023

View article titled, A novel method to measure static and dynamic complexity of time series based on visualization curves

Journal Articles

A new coding system to test independence of time series

J. S. Cánovas, A. Guillamón, M. C. Ruiz-Abellón

Chaos 33, 013122 (2023)

https://doi.org/10.1063/5.0132097

Published: January 2023

View article titled, A new coding system to test independence of time series

Journal Articles

A combinatorial view of stochastic processes: White noise

Alvaro Diaz-Ruelas

Chaos 32, 123136 (2022)

https://doi.org/10.1063/5.0097187

Published: December 2022

View article titled, A combinatorial view of stochastic processes: White noise

Journal Articles

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Lei Zhang, Shaoqiang Tang, Guowei He

Chaos 32, 123134 (2022)

https://doi.org/10.1063/5.0114542

Published: December 2022

View article titled, Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Includes: Supplementary data

Journal Articles

Classification of hyperchaotic, chaotic, and regular signals using single nonlinear node delay-based reservoir computers

Dagobert Wenkack Liedji, Jimmi Hervé Talla Mbé, Godpromesse Kenne

Chaos 32, 123126 (2022)

https://doi.org/10.1063/5.0124204

Published: December 2022

View article titled, Classification of hyperchaotic, chaotic, and regular signals using single nonlinear node delay-based reservoir computers

Journal Articles

Exploring predictive states via Cantor embeddings and Wasserstein distance

Samuel P. Loomis, James P. Crutchfield

Chaos 32, 123115 (2022)

https://doi.org/10.1063/5.0102603

Published: December 2022

View article titled, Exploring predictive states via Cantor embeddings and Wasserstein distance

Journal Articles

Study of low-dimensional nonlinear fractional difference equations of complex order

Divya D. Joshi, Prashant M. Gade, Sachin Bhalekar

Chaos 32, 113101 (2022)

https://doi.org/10.1063/5.0095939

Published: November 2022

View article titled, Study of low-dimensional nonlinear fractional difference equations of complex order

Journal Articles

Phase space partition with Koopman analysis

Cong Zhang, Haipeng Li, Yueheng Lan

Chaos 32, 063132 (2022)

https://doi.org/10.1063/5.0079812

Published: June 2022

View article titled, Phase space partition with Koopman analysis

Journal Articles

Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change

Braden Thorne, Thomas Jüngling, Michael Small, Débora Corrêa, Ayham Zaitouny

Chaos 32, 033109 (2022)

https://doi.org/10.1063/5.0082122

Published: March 2022

View article titled, Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change

Journal Articles

Understanding the origins of the basic equations of statistical fibrillatory dynamics

Evan V. Jenkins, Dhani Dharmaprani, Madeline Schopp, Jing Xian Quah, Kathryn Tiver, Lewis Mitchell, Kenneth Pope, Anand N. Ganesan

Chaos 32, 032101 (2022)

https://doi.org/10.1063/5.0062095

Published: March 2022

View article titled, Understanding the origins of the basic equations of statistical fibrillatory dynamics

NARROW

Topics

Chimera resonance in networks of chaotic maps

Transient chimera states emerging from dynamical trapping in chaotic saddles

The attractor structure of functional connectivity in coupled logistic maps

A robust sparse identification method for nonlinear dynamic systems affected by non-stationary noise

Recurrence plots bridge deterministic systems and stochastic systems topologically and measure-theoretically

Deep Learning for chaos detection

System dynamics monitoring using PIC micro-controller-based PLSE

Conditional cross-map-based technique: From pairwise dynamical causality to causal network reconstruction

Bifurcations and transition to chaos in generalized fractional maps of the orders 0 < α < 1

Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

A novel method to measure static and dynamic complexity of time series based on visualization curves

A new coding system to test independence of time series

A combinatorial view of stochastic processes: White noise

Learning chaotic systems from noisy data via multi-step optimization and adaptive training

Classification of hyperchaotic, chaotic, and regular signals using single nonlinear node delay-based reservoir computers

Exploring predictive states via Cantor embeddings and Wasserstein distance

Study of low-dimensional nonlinear fractional difference equations of complex order

Phase space partition with Koopman analysis

Reservoir time series analysis: Using the response of complex dynamical systems as a universal indicator of change

Understanding the origins of the basic equations of statistical fibrillatory dynamics

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