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Self-Organized Biological Dynamics and Nonlinear Control
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  • Cited by 23
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Szasz, Oliver Szigeti, Gyula Peter and Szasz, Andras 2017. On the Self-Similarity in Biological Processes. Open Journal of Biophysics, Vol. 07, Issue. 04, p. 183.

    Zebende, Gilney Figueira Oliveira Filho, Florêncio Mendes Leyva Cruz, Juan Alberto and Yao, Dezhong 2017. Auto-correlation in the motor/imaginary human EEG signals: A vision about the FDFA fluctuations. PLOS ONE, Vol. 12, Issue. 9, p. e0183121.

    Zebende, Gilney F. Fernandez, Basilio F. and Pereira, Marildo G. 2017. Analysis of the variability in the sdB star KIC 10670103: DFA approach. Monthly Notices of the Royal Astronomical Society, Vol. 464, Issue. 3, p. 2638.

    Szasz, Oliver Szigeti, Gyula Peter and Szasz, Andras 2017. Intrinsic Noise Monitoring of Complex Systems. Open Journal of Biophysics, Vol. 07, Issue. 04, p. 197.

    Walleczek, Jan and Grössing, Gerhard 2016. Is the World Local or Nonlocal? Towards an Emergent Quantum Mechanics in the 21stCentury. Journal of Physics: Conference Series, Vol. 701, Issue. , p. 012001.

    Walleczek, J 2016. The super-indeterminism in orthodox quantum mechanics does not implicate the reality of experimenter free will. Journal of Physics: Conference Series, Vol. 701, Issue. , p. 012005.

    Chowdhury, Ahsan Raja Chetty, Madhu and Evans, Rob 2015. Stochastic S-system modeling of gene regulatory network. Cognitive Neurodynamics, Vol. 9, Issue. 5, p. 535.

    Grössing, G Fussy, S Pascasio, J Mesa and Schwabl, H 2014. Relational causality and classical probability: Grounding quantum phenomenology in a superclassical theory. Journal of Physics: Conference Series, Vol. 504, Issue. , p. 012006.

    Peil, Katherine T. 2014. Emotion: the Self-regulatory Sense. Global Advances in Health and Medicine, Vol. 3, Issue. 2, p. 80.

    Szasz, Andras 2014. Oncothermia: Complex therapy by EM and fractal physiology. p. 1.

    Li, Wei Taheri, Javid Zomaya, Albert Y. Seredynski, Franciszek and Landfeldt, Bjorn 2013. Large Scale Network-Centric Distributed Systems. p. 219.

    Krylov, Viacheslav V. Bolotovskaya, Irina V. and Osipova, Elena A. 2013. The response of EuropeanDaphnia magnaStraus and AustralianDaphnia carinataKing to changes in geomagnetic field. Electromagnetic Biology and Medicine, Vol. 32, Issue. 1, p. 30.

    Castillo, Luis Felipe del and Vera-Cruz, Paula 2011. Thermodynamic Formulation of Living Systems and Their Evolution. Journal of Modern Physics, Vol. 02, Issue. 05, p. 379.

    Kotar, Jurij Leoni, Marco Bassetti, Bruno Lagomarsino, Marco Cosentino and Cicuta, Pietro 2010. Hydrodynamic synchronization of colloidal oscillators. Proceedings of the National Academy of Sciences, Vol. 107, Issue. 17, p. 7669.

    Santini, C.C. and Tyrrell, A. 2009. Investigating the Properties of Self-Organization and Synchronization in Electronic Systems. IEEE Transactions on NanoBioscience, Vol. 8, Issue. 3, p. 237.

    Topolski, Stefan 2009. Understanding health from a complex systems perspective. Journal of Evaluation in Clinical Practice, Vol. 15, Issue. 4, p. 749.

    Hegyi, G. Vincze, Gy. and Szasz, A. 2007. Axial-Vector Interaction with Bio-Systems. Electromagnetic Biology and Medicine, Vol. 26, Issue. 2, p. 107.

    Lebiedz, Dirk and Brandt-Pollmann, Ulrich 2005. Specific external forcing of spatiotemporal dynamics in reaction–diffusion systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol. 15, Issue. 2, p. 023901.

    Lebiedz, D. Sager, S. Bock, H. G. and Lebiedz, P. 2005. Annihilation of Limit-Cycle Oscillations by Identification of Critical Perturbing Stimuli via Mixed-Integer Optimal Control. Physical Review Letters, Vol. 95, Issue. 10,

    LEBIEDZ, D. 2005. EXPLOITING OPTIMAL CONTROL FOR TARGET-ORIENTED MANIPULATION OF (BIO)CHEMICAL SYSTEMS: A MODEL-BASED APPROACH TO SPECIFIC MODIFICATION OF SELF-ORGANIZED DYNAMICS. International Journal of Modern Physics B, Vol. 19, Issue. 25, p. 3763.

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    Self-Organized Biological Dynamics and Nonlinear Control
    • Online ISBN: 9780511535338
    • Book DOI: https://doi.org/10.1017/CBO9780511535338
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Book description

The growing impact of nonlinear science on biology and medicine is fundamentally changing our view of living organisms and disease processes. This book introduces the application to biomedicine of a broad range of interdisciplinary concepts from nonlinear dynamics, such as self-organization, complexity, coherence, stochastic resonance, fractals and chaos. It comprises 18 chapters written by leading figures in the field and covers experimental and theoretical research, as well as the emerging technological possibilities such as nonlinear control techniques for treating pathological biodynamics, including heart arrhythmias and epilepsy. This book will attract the interest of professionals and students from a wide range of disciplines, including physicists, chemists, biologists, sensory physiologists and medical researchers such as cardiologists, neurologists and biomedical engineers.

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