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Journal Articles

Hidden data recovery using reservoir computing: Adaptive network model and experimental brain signals

Artem Badarin, Andrey Andreev, Vladimir Klinshov, Vladimir Antipov, Alexander E. Hramov

Chaos 34, 103121 (2024)

https://doi.org/10.1063/5.0223184

Published: October 2024

View article titled, Hidden data recovery using reservoir computing: Adaptive network model and experimental brain signals

Journal Articles

Dynamical system identification, model selection, and model uncertainty quantification by Bayesian inference

Robert K. Niven, Laurent Cordier, Ali Mohammad-Djafari, Markus Abel, Markus Quade

Chaos 34, 083140 (2024)

https://doi.org/10.1063/5.0200684

Published: August 2024

View article titled, Dynamical system identification, model selection, and model uncertainty quantification by Bayesian inference

Journal Articles

Stepwise reconstruction of higher-order networks from dynamics

Yingbang Zang, Ziye Fan, Zixi Wang, Yi Zheng, Li Ding, Xiaoqun Wu

Chaos 34, 073156 (2024)

https://doi.org/10.1063/5.0210741

Published: July 2024

View article titled, Stepwise reconstruction of higher-order networks from dynamics

Journal Articles

The relationship between clustering and networked Turing patterns

Xiaofeng Luo, Guiquan Sun, Runzi He, Zhen Jin, Joshua Kiddy K. Asamoah, Yakui Xue, Lili Chang

Chaos 34, 073114 (2024)

https://doi.org/10.1063/5.0195450

Published: July 2024

View article titled, The relationship between clustering and networked Turing patterns

Journal Articles

Enhancing model identification with SINDy via nullcline reconstruction

Bartosz Prokop, Nikita Frolov, Lendert Gelens

Chaos 34, 063135 (2024)

https://doi.org/10.1063/5.0199311

Published: June 2024

View article titled, Enhancing model identification with SINDy via nullcline reconstruction

Journal Articles

Quantifying the potential of cascade outbreaks via early infected nodes using network percolation

Xin Li, Huichun Li, Xue Zhang, Chengli Zhao, Xiaojun Duan

Chaos 34, 043141 (2024)

https://doi.org/10.1063/5.0190294

Published: April 2024

View article titled, Quantifying the potential of cascade outbreaks via early infected nodes using network percolation

Journal Articles

The causality measure of partial mutual information from mixed embedding (PMIME) revisited

Akylas Fotiadis, Ioannis Vlachos, Dimitris Kugiumtzis

Chaos 34, 033113 (2024)

https://doi.org/10.1063/5.0189056

Published: March 2024

View article titled, The causality measure of partial mutual information from mixed embedding (PMIME) revisited

Journal Articles

Deep learning-based analysis of basins of attraction

David Valle, Alexandre Wagemakers, Miguel A. F. Sanjuán

Chaos 34, 033105 (2024)

https://doi.org/10.1063/5.0159656

Published: March 2024

View article titled, Deep learning-based analysis of basins of attraction

Journal Articles

Nonlinear causal network learning via Granger causality based on extreme support vector regression

Guanxue Yang, Weiwei Hu, Lidong He, Liya Dou

Chaos 34, 023127 (2024)

https://doi.org/10.1063/5.0183537

Published: February 2024

View article titled, Nonlinear causal network learning via Granger causality based on extreme support vector regression

Journal Articles

Relationship between magnetic rigidity cutoff and chaotic behavior in cosmic ray time series using visibility graph and network analysis techniques

D. Sierra-Porta

Chaos 34, 023114 (2024)

https://doi.org/10.1063/5.0167156

Published: February 2024

View article titled, Relationship between magnetic rigidity cutoff and chaotic behavior in cosmic ray time series using visibility graph and network analysis techniques

Journal Articles

The inverse problem for cardiac arrhythmias

T. M. Bury, K. Diagne, D. Olshan, L. Glass, A. Shrier, B. B. Lerman, G. Bub

Chaos 33, 123130 (2023)

https://doi.org/10.1063/5.0161210

Published: December 2023

View article titled, The inverse problem for cardiac arrhythmias

Journal Articles

Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

C. Tyler Diggans, Abd AlRahman R. AlMomani

Chaos 33, 123131 (2023)

https://doi.org/10.1063/5.0182349

Published: December 2023

View article titled, Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

Journal Articles

Adaptive integral alternating minimization method for robust learning of nonlinear dynamical systems from highly corrupted data

Tao Zhang, Guang Liu, Li Wang, Zhong-rong Lu

Chaos 33, 123112 (2023)

https://doi.org/10.1063/5.0167914

Published: December 2023

View article titled, Adaptive integral alternating minimization method for robust learning of nonlinear dynamical systems from highly corrupted data

Journal Articles

Dynamical noise can enhance high-order statistical structure in complex systems

Patricio Orio, Pedro A. M. Mediano, Fernando E. Rosas

Chaos 33, 123103 (2023)

https://doi.org/10.1063/5.0163881

Published: December 2023

View article titled, Dynamical noise can enhance high-order statistical structure in complex systems

Journal Articles

Seeing double with a multifunctional reservoir computer

Andrew Flynn, Vassilios A. Tsachouridis, Andreas Amann

Chaos 33, 113115 (2023)

https://doi.org/10.1063/5.0157648

Published: November 2023

View article titled, Seeing double with a multifunctional reservoir computer

Journal Articles

Topology switching during window thresholding fMRI-based functional networks of patients with major depressive disorder: Consensus network approach

Alexander N. Pisarchik, Andrey V. Andreev, Semen A. Kurkin, Drozdstoy Stoyanov, Artem A. Badarin, Rossitsa Paunova, Alexander E. Hramov

Chaos 33, 093122 (2023)

https://doi.org/10.1063/5.0166148

Published: September 2023

View article titled, Topology switching during window thresholding fMRI-based functional networks of patients with major depressive disorder: Consensus network approach

Journal Articles

A double-cycle echo state network topology for time series prediction

Jun Fu, Guangli Li, Jianfeng Tang, Lei Xia, Lidan Wang, Shukai Duan

Chaos 33, 093113 (2023)

https://doi.org/10.1063/5.0159966

Published: September 2023

View article titled, A double-cycle echo state network topology for time series prediction

Journal Articles

Data-informed reservoir computing for efficient time-series prediction

Felix Köster, Dhruvit Patel, Alexander Wikner, Lina Jaurigue, Kathy Lüdge

Chaos 33, 073109 (2023)

https://doi.org/10.1063/5.0152311

Published: July 2023

View article titled, Data-informed reservoir computing for efficient time-series prediction

Includes: Supplementary data

Journal Articles

Effect of network nestedness on stability, diversity, and resilience of ecosystems

Dongli Duan, Yuchen Zhai, Gege Hou, Meng Zhou, Yisheng Rong

Chaos 33, 073113 (2023)

https://doi.org/10.1063/5.0143274

Published: July 2023

View article titled, Effect of network nestedness on stability, diversity, and resilience of ecosystems

Journal Articles

Multi-species prey–predator dynamics during a multi-strain pandemic

Ariel Alexi, Ariel Rosenfeld, Teddy Lazebnik

Chaos 33, 073106 (2023)

https://doi.org/10.1063/5.0154968

Published: July 2023

View article titled, Multi-species prey–predator dynamics during a multi-strain pandemic

NARROW

Topics

Hidden data recovery using reservoir computing: Adaptive network model and experimental brain signals

Dynamical system identification, model selection, and model uncertainty quantification by Bayesian inference

Stepwise reconstruction of higher-order networks from dynamics

The relationship between clustering and networked Turing patterns

Enhancing model identification with SINDy via nullcline reconstruction

Quantifying the potential of cascade outbreaks via early infected nodes using network percolation

The causality measure of partial mutual information from mixed embedding (PMIME) revisited

Deep learning-based analysis of basins of attraction

Nonlinear causal network learning via Granger causality based on extreme support vector regression

Relationship between magnetic rigidity cutoff and chaotic behavior in cosmic ray time series using visibility graph and network analysis techniques

The inverse problem for cardiac arrhythmias

Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

Adaptive integral alternating minimization method for robust learning of nonlinear dynamical systems from highly corrupted data

Dynamical noise can enhance high-order statistical structure in complex systems

Seeing double with a multifunctional reservoir computer

Topology switching during window thresholding fMRI-based functional networks of patients with major depressive disorder: Consensus network approach

A double-cycle echo state network topology for time series prediction

Data-informed reservoir computing for efficient time-series prediction

Effect of network nestedness on stability, diversity, and resilience of ecosystems

Multi-species prey–predator dynamics during a multi-strain pandemic

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