Coupled Nonautonomous Oscillators
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[1] Tomislav Stankovski,et al. Tackling the Inverse Problem for Non-Autonomous Systems: Application to the Life Sciences , 2013 .
[2] Aneta Stefanovska,et al. Chronotaxic systems: a new class of self-sustained nonautonomous oscillators. , 2013, Physical review letters.
[3] Aneta Stefanovska,et al. Mean-field and mean-ensemble frequencies of a system of coupled oscillators , 2013, 1302.7164.
[4] E. Michelakis,et al. Mitochondria in vascular health and disease. , 2013, Annual review of physiology.
[5] A Stefanovska,et al. Stationary and traveling wave states of the Kuramoto model with an arbitrary distribution of frequencies and coupling strengths. , 2012, Physical review letters.
[6] A. Duggento,et al. Dynamical Bayesian inference of time-evolving interactions: from a pair of coupled oscillators to networks of oscillators. , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.
[7] Aneta Stefanovska,et al. Inference of time-evolving coupled dynamical systems in the presence of noise. , 2012, Physical review letters.
[8] P. Rabinovitch,et al. Mitochondria and cardiovascular aging. , 2012, Circulation research.
[9] Sang Hoon Lee,et al. Phase-shift inversion in oscillator systems with periodically switching couplings. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[10] A. Stefanovska,et al. Kuramoto model with time-varying parameters. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[11] Peter E. Kloeden,et al. Nonautonomous Dynamical Systems , 2011 .
[12] E. Montbrió,et al. Shear diversity prevents collective synchronization. , 2011, Physical review letters.
[13] I. Daubechies,et al. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool , 2011 .
[14] Hyunsuk Hong,et al. Kuramoto model of coupled oscillators with positive and negative coupling parameters: an example of conformist and contrarian oscillators. , 2011, Physical review letters.
[15] A Stefanovska,et al. Detecting the harmonics of oscillations with time-variable frequencies. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[16] S. Kuznetsov,et al. Collective phase chaos in the dynamics of interacting oscillator ensembles. , 2010, Chaos.
[17] T. Vadivasova,et al. Stochastic self-sustained oscillations of non-autonomous systems , 2010 .
[18] Antonis A Armoundas,et al. Spatio-temporal oscillations of individual mitochondria in cardiac myocytes reveal modulation of synchronized mitochondrial clusters , 2010, Proceedings of the National Academy of Sciences.
[19] Milan Palus,et al. Detecting couplings between interacting oscillators with time-varying basic frequencies: instantaneous wavelet bispectrum and information theoretic approach. , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[20] P. McClintock,et al. Nonlinear dynamics of cardiovascular ageing , 2010, Physics reports.
[21] Edward Ott,et al. Spontaneous synchronization of coupled oscillator systems with frequency adaptation. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[22] Riccardo Mannella,et al. Noise in Nonlinear Dynamical Systems , 2009 .
[23] P. Kloeden,et al. Dissipative synchronization of nonautonomous and random systems , 2009 .
[24] Aneta Stefanovska,et al. Asymmetry-induced effects in coupled phase-oscillator ensembles: Routes to synchronization. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[25] E. Ott,et al. Long time evolution of phase oscillator systems. , 2009, Chaos.
[26] Bard Ermentrout,et al. Canards, Clusters, and Synchronization in a Weakly Coupled Interneuron Model , 2009, SIAM J. Appl. Dyn. Syst..
[27] Ernest Barreto,et al. Synchronization in interacting populations of heterogeneous oscillators with time-varying coupling. , 2008, Chaos.
[28] Aneta Stefanovska,et al. Neuronal synchrony during anesthesia: a thalamocortical model. , 2008, Biophysical journal.
[29] Björn Kralemann,et al. Phase dynamics of coupled oscillators reconstructed from data. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[30] Aneta Stefanovska,et al. The effect of low-frequency oscillations on cardio-respiratory synchronization , 2008 .
[31] E. Ott,et al. Low dimensional behavior of large systems of globally coupled oscillators. , 2008, Chaos.
[32] H Kantz,et al. Direction of coupling from phases of interacting oscillators: a permutation information approach. , 2008, Physical review letters.
[33] M. Paluš,et al. Inferring the directionality of coupling with conditional mutual information. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.
[34] Steven H. Strogatz,et al. The Spectrum of the Partially Locked State for the Kuramoto Model , 2007, J. Nonlinear Sci..
[35] A. Stefanovska. Coupled Oscillatros: Complex But Not Complicated Cardiovascular and Brain Interactions , 2007, IEEE Engineering in Medicine and Biology Magazine.
[36] Milan Paluš,et al. From nonlinearity to causality: statistical testing and inference of physical mechanisms underlying complex dynamics , 2007 .
[37] Aneta Stefanovska,et al. Wavelet bispectral analysis for the study of interactions among oscillators whose basic frequencies are significantly time variable. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.
[38] Martin Rasmussen,et al. Attractivity and Bifurcation for Nonautonomous Dynamical Systems , 2007 .
[39] D. Cumin,et al. Generalising the Kuramoto Model for the study of Neuronal Synchronisation in the Brain , 2007 .
[40] P. E. Kloeden,et al. Nonautonomous attractors of switching systems , 2006 .
[41] Felix Naef,et al. Collective synchronization in populations of globally coupled phase oscillators with drifting frequencies. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.
[42] R. Spigler,et al. The Kuramoto model: A simple paradigm for synchronization phenomena , 2005 .
[43] M. Small. Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance , 2005 .
[44] H. Berger. Über das Elektrenkephalogramm des Menschen , 1929, Archiv für Psychiatrie und Nervenkrankheiten.
[45] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[46] J. Kurths,et al. Synchronization of two interacting populations of oscillators. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.
[47] Aneta Stefanovska,et al. Time-phase bispectral analysis. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[48] Milan Palus,et al. Direction of coupling from phases of interacting oscillators: an information-theoretic approach. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[49] Steven H. Strogatz,et al. Sync: The Emerging Science of Spontaneous Order , 2003 .
[50] Peter E. Kloeden,et al. SYNCHRONIZATION OF NONAUTONOMOUS DYNAMICAL SYSTEMS , 2003 .
[51] Jeffrey M. Hausdorff,et al. Fractal dynamics in physiology: Alterations with disease and aging , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[52] Jürgen Kurths,et al. Synchronization: Phase locking and frequency entrainment , 2001 .
[53] Jürgen Kurths,et al. Synchronization - A Universal Concept in Nonlinear Sciences , 2001, Cambridge Nonlinear Science Series.
[54] A Stefanovska,et al. Reversible transitions between synchronization states of the cardiorespiratory system. , 2000, Physical review letters.
[55] S. Strogatz. From Kuramoto to Crawford: exploring the onset of synchronization in populations of coupled oscillators , 2000 .
[56] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[57] H E Stanley,et al. Statistical physics and physiology: monofractal and multifractal approaches. , 1999, Physica A.
[58] J. Salas,et al. Nonlinear dynamics, delay times, and embedding windows , 1999 .
[59] Aneta Stefanovska,et al. Physics of the human cardiovascular system , 1999 .
[60] R. Spigler,et al. Adaptive Frequency Model for Phase-Frequency Synchronization in Large Populations of Globally Coupled Nonlinear Oscillators , 1998 .
[61] J. Acebrón,et al. Breaking the symmetry in bimodal frequency distributions of globally coupled oscillators , 1997, patt-sol/9707003.
[62] Aneta Stefanovska,et al. Correlation Integral and Frequency Analysis of Cardiovascular Functions , 1997 .
[63] Aneta Stefanovska,et al. On the overestimation of the correlation dimension , 1997 .
[64] Manfred Morari,et al. False-nearest-neighbors algorithm and noise-corrupted time series , 1997 .
[65] H. Kantz,et al. Nonlinear time series analysis , 1997 .
[66] Kurths,et al. Phase synchronization of chaotic oscillators. , 1996, Physical review letters.
[67] Wiesenfeld,et al. Synchronization transitions in a disordered Josephson series array. , 1996, Physical review letters.
[68] Hong,et al. Periodic synchronization in a driven system of coupled oscillators. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[69] L. Tsimring,et al. The analysis of observed chaotic data in physical systems , 1993 .
[70] C. L. Nikias,et al. Higher-order spectra analysis : a nonlinear signal processing framework , 1993 .
[71] Renato Spigler,et al. Nonlinear stability of incoherence and collective synchronization in a population of coupled oscillators , 1992 .
[72] H. Abarbanel,et al. Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.
[73] S. Strogatz,et al. Stability of incoherence in a population of coupled oscillators , 1991 .
[74] T. Bayes. An essay towards solving a problem in the doctrine of chances , 2003 .
[75] Brown,et al. Computing the Lyapunov spectrum of a dynamical system from an observed time series. , 1991, Physical review. A, Atomic, molecular, and optical physics.
[76] Hidetsugu Sakaguchi,et al. Cooperative Phenomena in Coupled Oscillator Systems under External Fields , 1988 .
[77] M.R. Raghuveer,et al. Bispectrum estimation: A digital signal processing framework , 1987, Proceedings of the IEEE.
[78] Y. Kuramoto,et al. Phase transitions in active rotator systems , 1986 .
[79] Fraser,et al. Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.
[80] D. Ruelle,et al. Ergodic theory of chaos and strange attractors , 1985 .
[81] Yoshiki Kuramoto,et al. Chemical Oscillations, Waves, and Turbulence , 1984, Springer Series in Synergetics.
[82] Werner Horsthemke,et al. Noise-induced transitions , 1984 .
[83] P. Grassberger,et al. Measuring the Strangeness of Strange Attractors , 1983 .
[84] P. Grassberger,et al. Characterization of Strange Attractors , 1983 .
[85] R. Mañé,et al. On the dimension of the compact invariant sets of certain non-linear maps , 1981 .
[86] G. Kraepelin,et al. A. T. Winfree, The Geometry of Biological Time (Biomathematics, Vol.8). 530 S., 290 Abb. Berlin‐Heidelberg‐New‐York 1980. Springer‐Verlag. DM 59,50 , 1981 .
[87] F. Takens. Detecting strange attractors in turbulence , 1981 .
[88] A. Winfree. The geometry of biological time , 1991 .
[89] G. Gerisch,et al. Intracellular oscillations and release of cyclic AMP from Dictyostelium cells. , 1975, Biochemical and biophysical research communications.
[90] H. Haken. Cooperative phenomena in systems far from thermal equilibrium and in nonphysical systems , 1975 .
[91] R M May,et al. Biological Populations with Nonoverlapping Generations: Stable Points, Stable Cycles, and Chaos , 1974, Science.
[92] K. Karhunen. Zur Spektraltheorie stochastischer prozesse , 1946 .