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  • 1
    Online Resource
    Online Resource
    Dordrecht :Springer Netherlands,
    Keywords: Physiology--Mathematical models. ; Nonlinear theories. ; Physiological Processes--Congresses. ; Cardiovascular Physiological Processes--Congresses. ; Models, Theoretical--Congresses. ; Nervous System Physiological Processes--Congresses. ; Nonlinear Dynamics--Congresses. ; Coördinatie. gtt. ; Motorisch systeem. gtt. ; Bewegingsleer. gtt. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (272 pages)
    Edition: 1st ed.
    ISBN: 9781402091438
    Series Statement: Understanding Complex Systems Series
    DDC: 571.015118
    Language: English
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  • 2
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Mathematics. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (378 pages)
    Edition: 1st ed.
    ISBN: 9783540712695
    Series Statement: Springer Series in Synergetics Series
    DDC: 531.32
    Language: English
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  • 3
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Nonlinear theories. ; Electronic books.
    Description / Table of Contents: Synchronization phenomena are abundant in science, nature, engineering and social life. Systems as diverse as clocks, singing crickets, cardiac pacemakers and applauding audiences exhibit a tendency to operate in synchrony. This comprehensive book describes the phenomena using both classical results and more recent developments.
    Type of Medium: Online Resource
    Pages: 1 online resource (433 pages)
    Edition: 1st ed.
    ISBN: 9780511202148
    Series Statement: Cambridge Nonlinear Science Series ; v.Series Number 12
    DDC: 003.75
    Language: English
    Note: Cover -- Half-title -- Series-title -- Title -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgments -- Book homepage -- Chapter 1 Introduction -- 1.1 Synchronization in historical perspective -- 1.2 Synchronization: just a description -- 1.2.1 What is synchronization? -- Self-sustained oscillator: a model of natural oscillating objects -- Characterization of a rhythm: period and frequency -- Coupling of oscillating objects -- Adjustment of rhythms: frequency and phase locking -- 1. Coupling strength -- 2. Frequency detuning -- 1.2.2 What is NOT synchronization? -- There is no synchronization without oscillations in autonomous systems -- Synchronous variation of two variables does not necessarily imply synchronization -- Too strong coupling makes a system unified -- 1.3 Synchronization: an overview of different cases -- Synchronization by an external force (Chapters 3 and 7) -- Ensembles of oscillators and oscillatory media (Chapters 4, 11 and 12) -- Phase and complete synchronization of chaotic oscillators (Chapters 5, 10 and Part III) -- What else is in the book -- Relaxation oscillators (Sections 2.4.2, 3.3 and 8.3) -- Rotators (Sections 4.1.8 and 7.4) -- Noise (Section 3.4, Chapter 9) -- Inferring synchronization from data (Chapter 6) -- 1.3.1 Terminological remarks -- 1.4 Main bibliography -- Part I Synchronization without formulae -- Chapter 2 Basic notions: the self-sustained oscillator and its phase -- 2.1 Self-sustained oscillators: mathematical models of natural systems -- 2.1.1 Self-sustained oscillations are typical in nature -- 2.1.2 Geometrical image of periodic self-sustained oscillations: limit cycle -- 2.2 Phase: definition and properties -- 2.2.1 Phase and amplitude of a quasilinear oscillator -- 2.2.2 Amplitude is stable, phase is free -- 2.2.3 General case: limit cycle of arbitrary shape. , 2.3 Self-sustained oscillators: main features -- 2.3.1 Dissipation, stability and nonlinearity -- Dissipation -- Stability -- Nonlinearity -- 2.3.2 Autonomous and forced systems: phase of a forced system is not free! -- 2.4 Self-sustained oscillators: further examples and discussion -- 2.4.1 Typical self-sustained system: internal feedback loop -- 2.4.2 Relaxation oscillators -- Chapter 3 Synchronization of a periodic oscillator by external force -- 3.1 Weakly forced quasilinear oscillators -- 3.1.1 The autonomous oscillator and the force in the rotating reference frame -- Intermediate summary -- 3.1.2 Phase and frequency locking -- Small detuning: synchronization -- Large detuning: quasiperiodic motion -- Frequency locking. Synchronization region -- Phase locking: constant phase shift -- 3.1.3 Synchronization transition -- Phase slips and intermittent phase dynamics at the transition -- Synchronous vs. quasiperiodic motion: Lissajous figures -- 3.1.4 An example: entrainment of respiration by a mechanical ventilator -- 3.2 Synchronization by external force: extended discussion -- 3.2.1 Stroboscopic observation -- 3.2.2 An example: periodically stimulated firefly -- 3.2.3 Entrainment by a pulse train -- Phase resetting by a single pulse -- Periodic pulse train -- 3.2.4 Synchronization of higher order. Arnold tongues -- 3.2.5 An example: periodic stimulation of atrial pacemaker cells -- 3.2.6 Phase and frequency locking: general formulation -- 3.2.7 An example: synchronization of a laser -- 3.3 Synchronization of relaxation oscillators: special features -- 3.3.1 Resetting by external pulses. An example: the cardiac pacemaker -- 3.3.2 Electrical model of the heart by van der Pol and van der Mark -- 3.3.3 Variation of the threshold. An example: the electronic relaxation oscillator -- 3.3.4 Variation of the natural frequency. , 3.3.5 Modulation vs. synchronization -- 3.3.6 An example: synchronization of the songs of snowy tree crickets -- 3.4 Synchronization in the presence of noise -- 3.4.1 Phase diffusion in a noisy oscillator -- 3.4.2 Forced noisy oscillators. Phase slips -- Characterizing synchronization of a noisy oscillator -- Weak bounded noise -- Unbounded or strong bounded noise -- 3.4.3 An example: entrainment of respiration by mechanical ventilation -- 3.4.4 An example: entrainment of the cardiac rhythm by weak external stimuli -- 3.5 Diverse examples -- 3.5.1 Circadian rhythms -- 3.5.2 The menstrual cycle -- 3.5.3 Entrainment of pulsatile insulin secretion by oscillatory glucose infusion -- 3.5.4 Synchronization in protoplasmic strands of Physarum -- 3.6 Phenomena around synchronization -- 3.6.1 Related effects at strong external forcing -- Chaotization of oscillation -- Suppression of oscillations -- 3.6.2 Stimulation of excitable systems -- 3.6.3 Stochastic resonance from the synchronization viewpoint -- Threshold systems -- Bistable systems -- 3.6.4 Entrainment of several oscillators by a common drive -- Coherent summation of oscillations. An example: injection locking of a laser array -- An example: circadian oscillations in cells -- An example: synchronization of the mitotic cycle in acute leukaemia -- Chapter 4 Synchronization of two and many oscillators -- 4.1 Mutual synchronization of self-sustained oscillators -- 4.1.1 Two interacting oscillators -- Frequency locking -- Phase locking -- High-order synchronization -- 4.1.2 An example: synchronization of triode generators -- 4.1.3 An example: respiratory and wing beat frequency of free-flying barnacle geese -- 4.1.4 An example: transition between in-phase and anti-phase motion -- 4.1.5 Concluding remarks and related effects -- Quenching -- Multimode systems. , 4.1.6 Relaxation oscillators. An example: true and latent pacemaker cells in the sino-atrial node -- 4.1.7 Synchronization of noisy systems. An example: brain and muscle activity of a Parkinsonian patient -- 4.1.8 Synchronization of rotators. An example: Josephson junctions -- 4.1.9 Several oscillators -- 4.2 Chains, lattices and oscillatory media -- 4.2.1 Synchronization in a lattice. An example: laser arrays -- 4.2.2 Formation of clusters. An example: electrical activity of mammalian intestine -- 4.2.3 Clusters and beats in a medium: extended discussion -- 4.2.4 Periodically forced oscillatory medium. An example: forced Belousov-Zhabotinsky reaction -- Synchronization of the motion of a spiral wave tip -- 4.3 Globally coupled oscillators -- 4.3.1 Kuramoto self-synchronization transition -- 4.3.2 An example: synchronization of menstrual cycles -- 4.3.3 An example: synchronization of glycolytic oscillations in a population of yeast cells -- 4.3.4 Experimental study of rhythmic hand clapping -- 4.4 Diverse examples -- 4.4.1 Running and breathing in mammals -- 4.4.2 Synchronization of two salt-water oscillators -- 4.4.3 Entrainment of tubular pressure oscillations in nephrons -- 4.4.4 Populations of cells -- 4.4.5 Synchronization of predator-prey cycles -- 4.4.6 Synchronization in neuronal systems -- Chapter 5 Synchronization of chaotic systems -- 5.1 Chaotic oscillators -- 5.1.1 An exemplar: the Lorenz model -- 5.1.2 Sensitive dependence on initial conditions -- 5.2 Phase synchronization of chaotic oscillators -- 5.2.1 Phase and average frequency of a chaotic oscillator -- 5.2.2 Entrainment by a periodic force. An example: forced chaotic plasma discharge -- 5.3 Complete synchronization of chaotic oscillators -- 5.3.1 Complete synchronization of identical systems. An example: synchronization of two lasers. , 5.3.2 Synchronization of nonidentical systems -- 5.3.3 Complete synchronization in a general context. An example: synchronization and clustering of globally coupled… -- 5.3.4 Chaos-destroying synchronization -- Chapter 6 Detecting synchronization in experiments -- 6.1 Estimating phases and frequencies from data -- 6.1.1 Phase of a spike train. An example: electrocardiogram -- 6.1.2 Phase of a narrow-band signal. An example: respiration -- 6.1.3 Several practical remarks -- 6.2 Data analysis in "active" and "passive" experiments -- 6.2.1 "Active" experiment -- 6.2.2 "Passive" experiment -- Coincidence of frequencies vs. frequency locking -- 6.3 Analyzing relations between the phases -- 6.3.1 Straightforward analysis of the phase difference. An example: posture control in humans -- Remarks on the method -- 6.3.2 High level of noise -- 6.3.3 Stroboscopic technique -- 6.3.4 Phase stroboscope in the case…An example: cardiorespiratory interaction -- 6.3.5 Phase relations in the case of strong modulation. An example: spiking of electroreceptors of a paddlefish -- 6.4 Concluding remarks and bibliographic notes -- 6.4.1 Several remarks on "passive" experiments -- 6.4.2 Quantification and significance of phase relation analysis -- 6.4.3 Some related references -- Part II Phase locking and frequency entrainment -- Chapter 7 Synchronization of periodic oscillators by periodic external action -- 7.1 Phase dynamics -- 7.1.1 A limit cycle and the phase of oscillations -- 7.1.2 Small perturbations and isochrones -- 7.1.3 An example: complex amplitude equation -- 7.1.4 The equation for the phase dynamics -- 7.1.5 An example: forced complex amplitude equations -- 7.1.6 Slow phase dynamics -- 7.1.7 Slow phase dynamics: phase locking and synchronization region -- 7.1.8 Summary of the phase dynamics -- Moderate amplitudes of the force -- Large forcing amplitudes. , 7.2 Weakly nonlinear oscillator.
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  • 4
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Dynamics. ; Chaotic behavior in systems. ; Nonlinear theories. ; Nichtlineare Dynamik swd. ; Chaostheorie swd. ; Electronic books.
    Description / Table of Contents: This book is a collection of contributions on various aspects of frontier research in the field of dynamical systems and chaos. Each chapter examines a specific research topic and, in addition to reviewing recent results, also discusses future perspectives.
    Type of Medium: Online Resource
    Pages: 1 online resource (299 pages)
    Edition: 1st ed.
    ISBN: 9783642046292
    Series Statement: Understanding Complex Systems Series
    DDC: 003.857
    Language: English
    Note: Intro -- Preface -- Contents -- Contributors -- How Did You Get into Chaos? -- Singular Perturbations of Complex Analytic Dynamical Systems -- Robert L. Devaney -- 1 Introduction -- 2 Preliminaries -- 3 The Escape Trichotomy -- 4 Proof of the Escape Trichotomy -- 5 Classification of Escape Time Julia Sets -- 6 Structure Around the McMullen Domain -- 7 Cantor Necklaces -- 8 The Case n=2 -- 9 Julia Sets Converging to the Unit Disk -- References -- Heteroclinic Switching in Coupled Oscillator Networks: Dynamics on Odd Graphs -- Peter Ashwin, Gábor Orosz, and Jon Borresen -- 1 Introduction -- 2 Dynamics and Bifurcations with SN Symmetry -- 3 Bifurcations for Three and Four GloballyCoupled Oscillators -- 4 Heteroclinic Networks for Odd Numbers of Oscillators -- 4.1 Existence, Stability and Connections of [k,k+1] Cluster States -- 5 Discussion -- References -- Dynamics of Finite-Size Particles in Chaotic Fluid Flows -- Julyan H.E. Cartwright, Ulrike Feudel, György Károlyi, Alessandro de Moura, Oreste Piro, and Tamás Tél -- 1 Introduction and Overview -- 2 Motion of Finite-Size Particles in Fluid Flows -- 2.1 The Maxey-Riley Equation -- 2.2 General Features of the Dynamics of Finite-Size Particles -- 3 Chaotic Advection of Passive Tracers -- 3.1 Properties of Passive-Tracer Chaotic Advection -- 3.2 The Convection and Cellular Flow Models -- 3.3 The Von Kármán Vortex Street -- 4 Inertial Effects in Closed Chaotic Flows -- 4.1 Neutrally Buoyant Particles -- 4.2 3D Flows and Bailout Embeddings -- 5 Advection of Finite-Size Particles in Open Flows -- 6 Coagulation and Fragmentation of Finite-Size Particles -- 7 Future Directions -- References -- Langevin Equation for Slow Degrees of Freedom of Hamiltonian Systems -- R.S. MacKay -- 1 Introduction -- 2 Assumptions -- 3 Aim -- 4 Strategy -- 4.1 Zeroth Order Mean Velocity. , 4.2 Fluctuations -- 4.3 Correction to Ergode -- 4.4 Effect of Autonomous Slow Motion -- 4.5 Ergode to Monode -- 4.6 Klimontovich Interpretation -- 5 Case of Standard Mechanical System -- 6 Quantum Degrees of Freedom -- 7 Kinetics Out of Chemical Equilibrium -- 8 Conclusion and Problems -- References -- Stable Chaos -- Antonio Politi and Alessandro Torcini -- 1 Introduction -- 2 Models -- 3 Definition and Characterization of Stable Chaos -- 4 Relationship with Cellular Automata -- 5 Relationship with Deterministic Chaos -- 6 From Order to Chaos -- 7 More Realistic Models -- 7.1 A Hamiltonian Model: Diatomic Hard-Point Chain -- 7.2 Neural Networks -- 8 Conclusions -- References -- Superpersistent Chaotic Transients -- Ying-Cheng Lai -- 1 Introduction -- 2 Unstable -- Unstable Pair Bifurcation -- 3 Riddling Bifurcation and Superpersistent Chaotic Transients -- 4 Superpersistent Chaotic Transients in Spatiotemporal Systems -- 5 Noise-Induced Superpersistent Chaotic Transients -- 6 Application: Advection of Inertial Particles in Open Chaotic Flows -- 7 Conclusions -- References -- Synchronization in Climate Dynamics and Other Extended Systems -- Peter L. Read and Alfonso A. Castrejón-Pita -- 1 Introduction -- 2 Climate Cycles and Teleconnections -- 2.1 Cyclic Variations in Climate Variables -- 2.2 Teleconnections -- 3 Models and Mechanisms for Teleconnection and Synchronization -- 3.1 Distinguishing Synchronized Models from Observations? -- 3.2 Zonally Symmetric Coupling -- 4 Laboratory Analogues of Zonally-Symmetric Synchronization -- 4.1 Periodic Perturbations -- 4.2 Mutual Synchronization Experiments -- 5 Discussion -- References -- Stochastic Synchronization -- Ram Ramaswamy, R.K. Brojen Singh, Changsong Zhou, and Jürgen Kurths -- 1 Introduction -- 2 Measures for Stochastic Synchronization. , 3 The Effect of Stochasticity on Synchrony -- 4 The Emergence of Synchrony in Stochastic Systems -- 5 Discussion and Summary -- References -- Experimental Huygens Synchronization of Oscillators -- Alexander Pogromsky, David Rijlaarsdam, and Henk Nijmeijer -- 1 Introduction -- 2 Synchronization of Pendulum Clocks -- 3 The Goal of the Experimental Set-Up -- 4 The Experimental Set-Up -- 4.1 Adjustment of the System Properties -- 5 Example 1: Coupled Duffing Oscillators -- 5.1 Problem Statement and Analysis -- 5.2 Experimental and Numerical Results -- 6 Example 2: Two Coupled Rotary Disks -- 6.1 Problem Statement -- 6.2 Experimental Results -- 7 Conclusions -- References -- Controlling Chaos: The OGY Method, Its Use in Mechanics, and an Alternative Unified Framework for Control of Non-regular Dynamics -- G. Rega, S. Lenci, and J.M.T. Thompson -- 1 Controlling Chaos: A Hot Topic at the Change of the Millennium -- 2 The Paradigmatic OGY Method for Chaos Control -- 3 Use of OGY Method for Control of Chaos in Mechanics -- 3.1 The Pendulum System -- 3.2 Smooth Archetypal Oscillators -- 3.3 Vibro-Impact and Friction Systems -- 3.4 Coupled Mechanical Systems -- 3.5 Targeting in Astrodynamics -- 3.6 Atomic Force Microscopy -- 4 An Alternative Unified Framework for Control of Non-regular Dynamics of Mechanical Systems -- 4.1 Single Degree-of-Freedom Systems -- 4.2 Different Kinds of Global Bifurcations -- 4.3 Distance Between Stable and Unstable Manifolds -- 4.3.1 Effect of Damping -- 4.3.2 Effect of Excitation -- 4.3.3 The Perturbed Manifold Distance -- 4.3.4 More General Excitation and Damping. -- 4.3.5 Reference (Natural) and Controlling Excitations -- 4.3.6 Energetic Derivation of Perturbed Manifolds Distance -- 4.3.7 Minimum Manifolds Distance -- 4.4 Influence of the Parameters on the Manifolds Distance. , 4.5 Homoclinic Bifurcation Thresholds -- 4.6 Control Ideas -- 4.7 Gains and Saved Region -- 4.8 Optimal Control and Optimization Problems -- 4.8.1 Universal Optimization Problem -- 4.8.2 From the Universal Optimal Solution to the Real Optimal Excitation -- 4.9 Extended (``Global'') and Localized (``One-Side'') Application of Control -- 4.9.1 Global Control of Gains -- 4.9.2 Global Control of Homoclinic Bifurcation Thresholds -- 4.10 On the Application of the Control Methods to Archetypal Single-d.o.f. Systems -- 4.10.1 Smooth vs. Non-smooth Systems -- 4.10.2 Single-Well vs. Multi-Well Potentials -- 4.10.3 Softening vs. Hardening Systems -- 4.10.4 Homoclinic vs. Heteroclinic Bifurcations -- 4.10.5 Symmetric vs. Asymmetric Systems -- 4.10.6 Transient vs. Steady Dynamics -- 4.10.7 Overall vs. Localized Control -- 4.10.8 System-Independent vs. System-Dependent Controls -- 4.10.9 Finite- vs. Infinite-Dimensional Systems -- References -- Detection of Patterns Within Randomness -- Ruedi Stoop and Markus Christen -- 1 Introduction and Overview -- 2 Log--log Steps in the Correlation Integral -- 3 Noiseless Single Patterns and Beyond -- 4 Analytical Derivation of s(n, m) -- 5 Main Theorem -- 6 Discussion and Outlook -- References -- Index.
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  • 5
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Keywords: Neurophysiology-Congresses. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (374 pages)
    Edition: 1st ed.
    ISBN: 9783540731597
    Series Statement: Understanding Complex Systems Series
    DDC: 612.82
    Language: English
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  • 6
    Online Resource
    Online Resource
    Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik Leibniz-Institut im Forschungsverbund Berlin e.V.
    Keywords: Forschungsbericht
    Description / Table of Contents: We study two coupled active rotators with Kuramoto-type coupling and focus our attention to specific transitional regimes where the coupling is neither attractive nor repulsive. We show that certain such situations at the edge of synchronization can be characterized by the existence of a time-reversal symmetry of the system. We identify two different cases with such a time-reversal symmetry. The first case is characterized by a non-reciprocal attractive/repulsive coupling. The second case is a reciprocal coupling exactly at the edge between attraction and repulsion. We give a detailed description of possible different types of dynamics and bifurcations for both cases. In particular, we show how the time-reversible coupling can induce both oscillation death and oscillation birth to the active rotators. Moreover, we analyse the coexistence of conservative and dissipative regions in phase space, which is a typical feature of systems with a time-reversal symmetry. We show also, how perturbations breaking the time-reversal symmetry and destroying the conservative regions can lead to complicated types of dissipative dynamics such as the emergence of long-period cycles showing a bursting-like behavior.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (24 Seiten, 3,32 MB) , Illustrationen, Diagramme
    Series Statement: Preprint / Weierstraß-Institut für Angewandte Analysis und Stochastik no. 3042
    Language: English
    Note: Literaturverzeichnis: Seite 19-22
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  • 7
    Electronic Resource
    Electronic Resource
    Woodbury, NY : American Institute of Physics (AIP)
    Chaos 7 (1997), S. 680-687 
    ISSN: 1089-7682
    Source: AIP Digital Archive
    Topics: Physics
    Notes: We consider phase synchronization of chaotic continuous-time oscillator by periodic external force. Phase-locking regions are defined for unstable periodic cycles embedded in chaos, and synchronization is described in terms of these regions. A special flow construction is used to derive a simple discrete-time model of the phenomenon. It allows to describe quantitatively the intermittency at the transition to phase synchronization. © 1997 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1540-8159
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: A multiparametric heart rate variability analysis was performed to prove if combined heart rate variability (HRV) measures of different domains improve the result of risk stratification in patients after myocardial infarction. In this study, standard time domain, frequency domain and non-linear dynamics measures of HRV assessment were applied to 572 survivors of acute myocardial infarction. Three parameter sets each consisting of 4 parameters were applied and compared with the standard measurement of global heart rate variability HRVi. Discriminant analysis technique and t-test were performed to separate the high risk groups from the survivors. The predictive value of this approach was evaluated with receiver operator (ROC) and positive predictive accuracy (PPA) curves. Results - The discriminant analysis shows a separation of patients suffered by all cause mortality in 80% (best single parameter 74%) and sudden arrhythmic death in 86% (73%). All parameters of set I show a high significant difference (p〈0.001) between survivors and non-survivors based on two-tailed t-test. The specificity level of the multivariate parameter sets is at the 70% sensitivity level (ROC) about 85–90%, whereas HRVi shows maximum levels of 70%. The PPA in the all cause mortality group is at the 70% sensitivity level twice as high as the univarihate HRV measure and increases to more than fourfold as high within the VT/VF group. In conclusion, in this population, the multiparametric approach with the combination of four parameters from all domains especially from NLD seems to be a better predictor of high arrhythmia risk than the standard measurement of global heart rate variability.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillan Magazines Ltd.
    Nature 392 (1998), S. 239-240 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] It is widely accepted that cardiac and respiratory rhythms in humans are unsynchronised. However, a newly developed data analysis technique allows any interaction that does occur in even weakly coupled complex systems to be observed. Using this technique, we found long periods of hidden ...
    Type of Medium: Electronic Resource
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Solar physics 107 (1986), S. 39-45 
    ISSN: 1573-093X
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract Using the theory of nonlinear dynamical systems a time-series analysis of a pulsation event in solar radio emission suggests that there exists a low-dimensional attractor. The power spectrum cannot be interpreted as a superposition of periodic components. Estimates of the maximum Lyapunov exponent and the Kolmogorov entropy give some hints to deterministic chaos. Consequences for the physical modelling of the event are discussed.
    Type of Medium: Electronic Resource
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