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报告题目：From 1/f noise to multifractal complexity and self-organized criticality in physiologic dynamics.
Physiological systems exhibit erratic fluctuations, which traditionally have been considered as noise and thus, often neglected. Our findings indicate the presence of hierarchical cascades in physiologic fluctuations, leading to temporal scale-invariant organization spanning time scales from seconds to hours. Such behavior results from complex control mechanisms involving multiple feedback loops, and resembles the dynamics of non-equilibrium physical systems characterized by power-law long-range correlations and turbulence-like multifractality. We examine the dynamics of three complex physiologic systems under integrated neural control –cardiac, locomotion and sleep – with the aim to identify how these dynamics change under different physiologic conditions and pathologic perturbations. Our findings underline the necessity to study the dynamical evolution of an entire network of physiologic interactions, to address the question to what extent the observed complexity in the output of physiologic systems emerges as a result of transient changes in the nonlinear coupling between them.
Plamen教授（Professor Plamen Ch. Ivanov (PhD, DSc) is Director of the Keck Laboratory for Network Physiology at Boston University, Associate Physiologist at the Division of Sleep Medicine, Brigham and Women's Hospital, and Lecturer in Medicine at Harvard Medical School）