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Volume 29, Issue 12

December 2019

ISSN 1054-1500

EISSN 1089-7682

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Autonomic control is a source of dynamical chaos in the cardiovascular system

A. S. Karavaev; Yu. M. Ishbulatov; V. I. Ponomarenko; B. P. Bezruchko; A. R. Kiselev; M. D. Prokhorov

Chaos 29, 121101 (2019) https://doi.org/10.1063/1.5134833

Abstract

View articletitled, Autonomic control is a source of dynamical chaos in the cardiovascular system

Supplementary Material

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Generation of surrogate event sequences via joint distribution of successive inter-event intervals

Leonardo Ricci; Michele Castelluzzo; Ludovico Minati; Alessio Perinelli

Chaos 29, 121102 (2019) https://doi.org/10.1063/1.5138250

Abstract

View articletitled, Generation of surrogate event sequences via joint distribution of successive inter-event intervals

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Loss of coherence among coupled oscillators: From defect states to phase turbulence

Yohann Duguet; Yuri L. Maistrenko

Chaos 29, 121103 (2019) https://doi.org/10.1063/1.5125119

Abstract

View articletitled, Loss of coherence among coupled oscillators: From defect states to phase turbulence

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Using machine learning to assess short term causal dependence and infer network links

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Amitava Banerjee; Jaideep Pathak; Rajarshi Roy; Juan G. Restrepo; Edward Ott

Chaos 29, 121104 (2019) https://doi.org/10.1063/1.5134845

Abstract

View articletitled, Using machine learning to assess short term causal dependence and infer network links

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CHORUS

Chaos in Hamiltonian systems subjected to parameter drift

Dániel Jánosi; Tamás Tél

Chaos 29, 121105 (2019) https://doi.org/10.1063/1.5139717

Abstract

View articletitled, Chaos in Hamiltonian systems subjected to parameter drift

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Cortical chimera states predict epileptic seizures

Claudia Lainscsek; Nuttida Rungratsameetaweemana; Sydney S. Cash; Terrence J. Sejnowski

Chaos 29, 121106 (2019) https://doi.org/10.1063/1.5139654

Abstract

View articletitled, Cortical chimera states predict epileptic seizures

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On learning Hamiltonian systems from data

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Tom Bertalan; Felix Dietrich; Igor Mezić; Ioannis G. Kevrekidis

Chaos 29, 121107 (2019) https://doi.org/10.1063/1.5128231

Abstract

View articletitled, On learning Hamiltonian systems from data

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CHORUS

REGULAR ARTICLES

Learned emergence in selfish collective motion

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Shannon D. Algar; Thomas Lymburn; Thomas Stemler; Michael Small; Thomas Jüngling

Chaos 29, 123101 (2019) https://doi.org/10.1063/1.5120776

Abstract

View articletitled, Learned emergence in selfish collective motion

Supplementary Material

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Cycle-SfM: Joint self-supervised learning of depth and camera motion from monocular image sequences

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Qiyu Sun; Yang Tang; Chaoqiang Zhao

Chaos 29, 123102 (2019) https://doi.org/10.1063/1.5120605

Abstract

View articletitled, Cycle-SfM: Joint self-supervised learning of depth and camera motion from monocular image sequences

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Growth and form of a self-constructing tube network

In Special Collection: Nonlinear Chemical Dynamics and Its Interdisciplinary Impact: Dedicated to Ken Showalter on the Occasion of his 70th Birthday

J. Couture; A. Lena; J. Maselko; J. Pantaleone

Chaos 29, 123103 (2019) https://doi.org/10.1063/1.5125688

Abstract

View articletitled, Growth and form of a self-constructing tube network

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Simulating waves, chaos and synchronization with a microcontroller

Andrea J. Welsh; Cristian Delgado; Casey Lee-Trimble; Abouzar Kaboudian; Flavio H. Fenton

Chaos 29, 123104 (2019) https://doi.org/10.1063/1.5094351

Abstract

View articletitled, Simulating waves, chaos and synchronization with a microcontroller

Supplementary Material

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CHORUS

Stability and control of power grids with diluted network topology

In Special Collection: Dynamics of Modern Power Grids

Liudmila Tumash; Simona Olmi; Eckehard Schöll

Chaos 29, 123105 (2019) https://doi.org/10.1063/1.5111686

Abstract

View articletitled, Stability and control of power grids with diluted network topology

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Chaos detection of Duffing system with fractional-order derivative by Melnikov method

Jiangchuan Niu; Ruyu Liu; Yongjun Shen; Shaopu Yang

Chaos 29, 123106 (2019) https://doi.org/10.1063/1.5124367

Abstract

View articletitled, Chaos detection of Duffing system with fractional-order derivative by Melnikov method

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Spectral analysis for weighted iterated q-triangulation networks

Bo Wu; Zhizhuo Zhang; Weiyi Su

Chaos 29, 123107 (2019) https://doi.org/10.1063/1.5120368

Abstract

View articletitled, Spectral analysis for weighted iterated q-triangulation networks

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Forecasting chaotic systems with very low connectivity reservoir computers

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Aaron Griffith; Andrew Pomerance; Daniel J. Gauthier

Chaos 29, 123108 (2019) https://doi.org/10.1063/1.5120710

Abstract

View articletitled, Forecasting chaotic systems with very low connectivity reservoir computers

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CHORUS

Predicting drug-disease associations with heterogeneous network embedding

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Kai Yang; Xingzhong Zhao; David Waxman; Xing-Ming Zhao

Chaos 29, 123109 (2019) https://doi.org/10.1063/1.5121900

Abstract

View articletitled, Predicting drug-disease associations with heterogeneous network embedding

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Spatiotemporal dynamics of turbulent coaxial jet analyzed by symbolic information-theory quantifiers and complex-network approach

Wataru Kobayashi; Hiroshi Gotoda; Shuya Kandani; Yuya Ohmichi; Shingo Matsuyama

Chaos 29, 123110 (2019) https://doi.org/10.1063/1.5126490

Abstract

View articletitled, Spatiotemporal dynamics of turbulent coaxial jet analyzed by symbolic information-theory quantifiers and complex-network approach

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Generative dynamic link prediction

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Jinyin Chen; Xiang Lin; Chenyu Jia; Yuwei Li; Yangyang Wu; Haibin Zheng; Yi Liu

Chaos 29, 123111 (2019) https://doi.org/10.1063/1.5120722

Abstract

View articletitled, Generative dynamic link prediction

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Kernel methods for detecting coherent structures in dynamical data

Stefan Klus; Brooke E. Husic; Mattes Mollenhauer; Frank Noé

Chaos 29, 123112 (2019) https://doi.org/10.1063/1.5100267

Abstract

View articletitled, Kernel methods for detecting coherent structures in dynamical data

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Analysis of two avian influenza epidemic models involving fractal-fractional derivatives with power and Mittag-Leffler memories

Behzad Ghanbari; J. F. Gómez-Aguilar

Chaos 29, 123113 (2019) https://doi.org/10.1063/1.5117285

Abstract

View articletitled, Analysis of two avian influenza epidemic models involving fractal-fractional derivatives with power and Mittag-Leffler memories

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Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states

Luca Faes; Manuel Gómez-Extremera; Riccardo Pernice; Pedro Carpena; Giandomenico Nollo; Alberto Porta; Pedro Bernaola-Galván

Chaos 29, 123114 (2019) https://doi.org/10.1063/1.5115506

Abstract

View articletitled, Comparison of methods for the assessment of nonlinearity in short-term heart rate variability under different physiopathological states

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Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Aleksei Seleznev; Dmitry Mukhin; Andrey Gavrilov; Evgeny Loskutov; Alexander Feigin

Chaos 29, 123115 (2019) https://doi.org/10.1063/1.5128372

Abstract

View articletitled, Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network

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Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

S. Herzog; F. Wörgötter; U. Parlitz

Chaos 29, 123116 (2019) https://doi.org/10.1063/1.5124926

Abstract

View articletitled, Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos

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Aging transition in the absence of inactive oscillators

K. Sathiyadevi; I. Gowthaman; D. V. Senthilkumar; V. K. Chandrasekar

Chaos 29, 123117 (2019) https://doi.org/10.1063/1.5121565

Abstract

View articletitled, Aging transition in the absence of inactive oscillators

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Time delay in the swing equation: A variety of bifurcations

In Special Collection: Dynamics of Modern Power Grids

T. H. Scholl; L. Gröll; V. Hagenmeyer

Chaos 29, 123118 (2019) https://doi.org/10.1063/1.5122784

Abstract

View articletitled, Time delay in the swing equation: A variety of bifurcations

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Multistability in lossy power grids and oscillator networks

In Special Collection: Dynamics of Modern Power Grids

Chiara Balestra; Franz Kaiser; Debsankha Manik; Dirk Witthaut

Chaos 29, 123119 (2019) https://doi.org/10.1063/1.5122739

Abstract

View articletitled, Multistability in lossy power grids and oscillator networks

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Cluster synchronization: From single-layer to multi-layer networks

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Cun Ma; Qirui Yang; Xiaoqun Wu; Jun-an Lu

Chaos 29, 123120 (2019) https://doi.org/10.1063/1.5122699

Abstract

View articletitled, Cluster synchronization: From single-layer to multi-layer networks

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Classical three rotor problem: Periodic solutions, stability and chaos

Govind S. Krishnaswami; Himalaya Senapati

Chaos 29, 123121 (2019) https://doi.org/10.1063/1.5110032

Abstract

View articletitled, Classical three rotor problem: Periodic solutions, stability and chaos

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Deep reinforcement learning in World-Earth system models to discover sustainable management strategies

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Felix M. Strnad; Wolfram Barfuss; Jonathan F. Donges; Jobst Heitzig

Chaos 29, 123122 (2019) https://doi.org/10.1063/1.5124673

Abstract

View articletitled, Deep reinforcement learning in World-Earth system models to discover sustainable management strategies

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A Bayesian nonparametric approach to the approximation of the global stable manifold

Spyridon J. Hatjispyros; Konstantinos Kaloudis

Chaos 29, 123123 (2019) https://doi.org/10.1063/1.5122187

Abstract

View articletitled, A Bayesian nonparametric approach to the approximation of the global stable manifold

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General stationary solutions of the nonlocal nonlinear Schrödinger equation and their relevance to the $P T$ -symmetric system

Tao Xu; Yang Chen; Min Li; De-Xin Meng

Chaos 29, 123124 (2019) https://doi.org/10.1063/1.5121776

Abstract

View articletitled, General stationary solutions of the nonlocal nonlinear Schrödinger equation and their relevance to the <math xmlns="http://www.w3.org/1998/Math/MathML"><mrow xmlns=""><mi mathvariant="bold-script">P</mi></mrow><mrow xmlns=""><mi mathvariant="bold-script">T</mi></mrow></math>-symmetric system

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Analyzing collective motion with machine learning and topology

Dhananjay Bhaskar; Angelika Manhart; Jesse Milzman; John T. Nardini; Kathleen M. Storey; Chad M. Topaz; Lori Ziegelmeier

Chaos 29, 123125 (2019) https://doi.org/10.1063/1.5125493

Abstract

View articletitled, Analyzing collective motion with machine learning and topology

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CHORUS

Observability of laminar bidimensional fluid flows seen as autonomous chaotic systems

Gisela D. Charó; Denisse Sciamarella; Sylvain Mangiarotti; Guillermo Artana; Christophe Letellier

Chaos 29, 123126 (2019) https://doi.org/10.1063/1.5120625

Abstract

View articletitled, Observability of laminar bidimensional fluid flows seen as autonomous chaotic systems

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Effect of processing delay on bifurcation delay in a network of slow-fast oscillators

D. Premraj; K. Suresh; K. Thamilmaran

Chaos 29, 123127 (2019) https://doi.org/10.1063/1.5123417

Abstract

View articletitled, Effect of processing delay on bifurcation delay in a network of slow-fast oscillators

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Delay differential equation-based models of cardiac tissue: Efficient implementation and effects on spiral-wave dynamics

Johnny Moreira Gomes; Marcelo Lobosco; Rodrigo Weber dos Santos; Elizabeth M. Cherry

Chaos 29, 123128 (2019) https://doi.org/10.1063/1.5128240

Abstract

View articletitled, Delay differential equation-based models of cardiac tissue: Efficient implementation and effects on spiral-wave dynamics

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CHORUS

Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Christoph Jansen; Thomas Penzel; Stephan Hodel; Stefanie Breuer; Martin Spott; Dagmar Krefting

Chaos 29, 123129 (2019) https://doi.org/10.1063/1.5128003

Abstract

View articletitled, Network physiology in insomnia patients: Assessment of relevant changes in network topology with interpretable machine learning models

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Dynamics of analog logic-gate networks for machine learning

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Itamar Shani; Liam Shaughnessy; John Rzasa; Alessandro Restelli; Brian R. Hunt; Heidi Komkov; Daniel P. Lathrop

Chaos 29, 123130 (2019) https://doi.org/10.1063/1.5123753

Abstract

View articletitled, Dynamics of analog logic-gate networks for machine learning

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CHORUS

Containing misinformation spreading in temporal social networks

Wei Wang; Yuanhui Ma; Tao Wu; Yang Dai; Xingshu Chen; Lidia A. Braunstein

Chaos 29, 123131 (2019) https://doi.org/10.1063/1.5114853

Abstract

View articletitled, Containing misinformation spreading in temporal social networks

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Synchronous patterns and intermittency in a network induced by the rewiring of connections and coupling

R. C. Budzinski; B. R. R. Boaretto; T. L. Prado; R. L. Viana; S. R. Lopes

Chaos 29, 123132 (2019) https://doi.org/10.1063/1.5128495

Abstract

View articletitled, Synchronous patterns and intermittency in a network induced by the rewiring of connections and coupling

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Memory effects on binary choices with impulsive agents: Bistability and a new BCB structure

L. Gardini; A. Dal Forno; U. Merlone

Chaos 29, 123133 (2019) https://doi.org/10.1063/1.5120472

Abstract

View articletitled, Memory effects on binary choices with impulsive agents: Bistability and a new BCB structure

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Coherent Riemannian-geometric description of Hamiltonian order and chaos with Jacobi metric

Loris Di Cairano; Matteo Gori; Marco Pettini

Chaos 29, 123134 (2019) https://doi.org/10.1063/1.5119797

Abstract

View articletitled, Coherent Riemannian-geometric description of Hamiltonian order and chaos with Jacobi metric

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On the role of four-wave mixing effect in the interactions between nonlinear modes of coupled generalized nonlinear Schrödinger equation

N. Vishnu Priya; M. Senthilvelan; Govindan Rangarajan

Chaos 29, 123135 (2019) https://doi.org/10.1063/1.5121245

Abstract

View articletitled, On the role of four-wave mixing effect in the interactions between nonlinear modes of coupled generalized nonlinear Schrödinger equation

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