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Classification of epilepsy types through global network analysis of scalp electroencephalograms

Physical Review E 2006年第4期73卷 041920-041920页

作者： UnCheol Lee Seunghwan Kim Ki-Young Jung []Asia Pacific Center for Theoretical Physics & Nonlinear Complex Systems Laboratory National Core Research Center on System Biodynamics Department of Physics Pohang University of Science and Technology Pohang 790-784 Korea

Epilepsy is a dynamic disease in which self-organization and emergent structures occur dynamically at multiple levels of neuronal integration. Therefore, the transient relationship within multichannel electroencephalograms (EEGs) is crucial for understanding epileptic processes. In this paper, we show that the global relationship within multichannel EEGs provides us with more useful information in classifying two different epilepsy types than pairwise relationships such as cross correlation. To demonstrate this, we determine the global network structure within channels of the scalp EEG based on the minimum spanning tree method. The topological dissimilarity of the network structures from different types of temporal lobe epilepsy is described in the form of the divergence rate and is computed for 11 patients with left (LTLE) and right temporal lobe epilepsy (RTLE). We find that patients with LTLE and RTLE exhibit different large scale network structures, which emerge at the epoch immediately before the seizure onset, not in the preceding epochs. Our results suggest that patients with the two different epilepsy types display distinct large scale dynamical networks with characteristic epileptic network structures.

关键词： Diseases

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Proposal of Incremental Sliding Mode Control

Proposal of Incremental Sliding Mode Control

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International Conference on Innovative Computing, Information and Control (ICICIC)

作者： Yinxing Hao Jianqiang Yi Dongbin Zhao Wei Wang Laboratory of complex systems and intelligence science Institute of Automation Chinese Academy and Sciences Beijing China School of information science and technology Beijing Institute of Technology Chinese Academy and Sciences Beijing China

An incremental sliding mode controller for a class of second-order underactuated systems is proposed to achieve asymptotic stability and favorable performance. The second-order underactuated systems include two subsystems. Firstly, two state variables of a subsystem are chosen to construct the first-layer sliding surface. Secondly, the first-layer sliding surface and one of the left state variables are used to construct the second-layer sliding surface. The last sliding surface is constructed by the second-layer sliding surface and the left state variable. This proposed design method is applied to investigate the decoupled control of an inverted pendulum. The simulation results show the validity of incremental sliding mode control. At the same time, we analyze the way to construct the sliding surfaces and a rule of selecting parameters to construct the sliding surfaces

关键词： Proposals Sliding mode control Control systems Asymptotic stability Laboratories Intelligent systems Automation Information science Automatic control Design methodology

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Hopf Bifurcation Analysis of a Class of Delay Differential systems

Hopf Bifurcation Analysis of a Class of Delay Differential S...

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Chinese Control Conference (CCC)

作者： Ping Wei Wensheng Yu Long Wang Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China National Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Center for Systems and Control Department of Mechanics and Engineering Science Peking University Beijing China

This paper analyzes when a Hopf bifurcation occurs for a class of delay differential systems, and constructs the algorithms for determining the bifurcation's occurrence. By using some algebraic criteria, the "complete discrimination system for polynomials" and Hurwitz criterion, on-line determining bifurcation's occurrence can be realized. The methods unify and generalize the relevant results in the literature.

关键词： Bifurcation Delay systems Laboratories Intelligent systems Polynomials Automation Content addressable storage Automatic control Control systems Algorithm design and analysis

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Bifurcation analysis of mode-locking structure in a Hodgkin-Huxley neuron under sinusoidal current

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Physical Review E 2006年第4期73卷 041924-041924页

作者： Sang-Gui Lee Seunghwan Kim Brain Research Center & Nonlinear and Complex Systems Laboratory Department of Physics National Core Research Center for System Bio-Dynamics Pohang University of Science & Technology San 31 Hyojadong Pohang Korea 790-784

Nervous systems under periodic stimuli display rich dynamical states including mode-locking and chaotic responses, which have been a subject of intense studies in neurodynamics. The bifurcation structure of the Hodgkin-Huxley neuron under sinusoidal stimulus is studied in detail. The mechanisms of the firing onset and rich firing dynamics are studied with the help of the codimension-2 bifurcations, which play the role of the organizing center for myriads of saddle-node, period-doubling, and inverse-flip bifurcations forming the boundaries of the complex mode-locking structure. This study provides a useful insight into the organization of similar bifurcation structures in excitable systems such as neurons under periodic forcing.

关键词： Neurology

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Using Accelerator Feedback to Improve Performance of Integral-Controller Particle Swarm Optimization

Using Accelerator Feedback to Improve Performance of Integra...

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an 710049

ISBN: (纸本)9781424404759

Integral-controller particle swarm optimization (ICPSO), influenced by inertia weight w and coefficient ψ is a new swarm technology by adding accelerator information. Based on stability analysis, the convergence conditions imply the negative selection principles of inertia weight w, and the relationship between w and ψ. To improve the computational efficiency, an adaptive strategy for tuning the parameters of ICPSO is described using a new statistical variable reflecting computational efficiency index-average accelerator information. The optimization computing of some examples is made to show that the ICPSO has better global search capacity and rapid convergence speed.

关键词： Particle swarm optimization Average Accelerator Information Integral-controller

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Predicted Particle Swarm Optimization

Predicted Particle Swarm Optimization

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Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

作者： Zhihua Cui Jianchao Zeng Guoji Sun State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049 Division of System Simulation and Computer Application Taiyuan University of Science and Technology State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'an. 710049

ISBN: (纸本)1424404754;9781424404759

The standard particle swarm optimization (PSO) may prematurely converge on suboptimal solution partly because of the insufficiency information utilization of the velocity. The time cost by velocity is longer than position of each particle of the swarm, though the velocity, limited by the constant Vmax, onfy provides the positional displacement To avoid premature convergence, a new modified PSO, predicted PSO, is proposed owning two different swarms in which the velocity without limitation, considered as a predictor, is used to explore the search space besides providing the displacement while the position considered as a corrector. The algorithm gives some balance between global and local search capability. The optimization computing of some examples is made to show the new algorithm has better global search capacity and rapid convergence rate.

关键词： Particle swarm optimization Predicted velocity Exploration capability Exploitation capability

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Self-organized criticality and scale-free properties in emergent functional neural networks

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Physical Review E 2006年第4期74卷 045101(R)-045101(R)页

作者： Chang-Woo Shin Seunghwan Kim []Asia Pacific Center for Theoretical Physics National Core Research Center for System Biodynamics and Nonlinear and Complex Systems Laboratory Department of Physics Pohang University of Science and Technology San 31 Hyoja-dong Nam-gu Pohang Gyungbuk Korea 790-784

Recent studies on complex systems have shown that the synchronization of oscillators, including neuronal ones, is faster, stronger, and more efficient in small-world networks than in regular or random networks. We show that the functional structures in the brain can be self-organized to both small-world and scale-free networks by synaptic reorganization via spike timing dependent synaptic plasticity instead of conventional Hebbian learning rules. We show that the balance between the excitatory and the inhibitory synaptic inputs is critical in the formation of the functional structure, which is found to lie in a self-organized critical state.

关键词： SYNAPTIC PLASTICITY complex NETWORKS

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Sporadic feedback control of flow turbulence

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Physical Review E 2006年第5期73卷 056307-056307页

作者： Guoning Tang Gang Hu Department of Physics Beijing Normal University Beijing 100875 China College of Physics and Information Technology Guangxi Normal University Guilin 541004 China Chinese Center for Advanced Science and Technology (World Laboratory) Beijing 8730 China Beijing-Hong Kong-Singapore Joint Center of Nonlinear & Complex Systems (Beijing) Beijing Normal University Beijing 100875 China

In this work we consider the problem of flow turbulence control in a two-dimensional Navier-Stokes equation. We suggest a control strategy which sporadically applies global feedback to a single velocity component of the velocity field. It is found that this control strategy can significantly enhance the control efficiency when the optimal fraction for the control period is suitably chosen, both larger and smaller control time fractions may reduce the control precision. The physical mechanism underlying this interesting and strange behavior is heuristically analyzed, based on mode-mode interactions.

关键词： CONTROLLING SPATIOTEMPORAL CHAOS PARTIAL-DIFFERENTIAL EQUATIONS systems PATTERNS DRAG

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Suppression of Winfree turbulence under weak spatiotemporal perturbation

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Physical Review E 2006年第6期73卷 060901(R)-060901(R)页

作者： Ning-Jie Wu Hong Zhang He-Ping Ying Zhoujian Cao Gang Hu Zhejiang Institute of Modern Physics and Department of Physics Zhejiang University Hangzhou 310027 China Department of Physics and The Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Beijing) Beijing Normal University Beijing 100875 China Chinese Center for Advanced Science and Technology (World Laboratory) Beijing 8730 China

Winfree turbulence is a chaotic wave pattern developing through negative-tension instability of scroll wave filaments in three-dimensional weak excitable media. Here, we investigate the response of Winfree turbulence to a spatiotemporal forcing in the form of a traveling-wave modulation of the medium excitability. It is shown that turbulent waves can be suppressed much more rapidly by this method, in comparison with the space-uniform modulation of the medium excitability. Since the occurrence of Winfree turbulence is currently regarded as one of the possible mechanisms underlying cardiac fibrillation, this method turns out to be suggestive of a possible low-amplitude defibrillation approach.

关键词： SPIRAL-WAVE DYNAMICS EXCITABLE MEDIA SCROLL WAVES MUSCLE MODEL

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Self-organization of chaos synchronization and pattern formation in coupled chaotic oscillators

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Physical Review E 2006年第1期74卷 015202(R)-015202(R)页

作者： Xiaoming Zhang Maolin Fu Jinghua Xiao Gang Hu Department of Physics Beijing Normal University Beijing 100875 China School of Mathematics and Physics Nanhua University Hengyang 421001 China School of Science Beijing University of Posts and Telecommunications Beijing 100876 China Chinese Center for Advanced Science and Technology (World Laboratory) Beijing 8730 China Beijing–Hong Kong–Singapore Joint Center of Nonlinear and Complex Systems Beijing Normal University Branch Beijing China

Pattern formation in spatiotemporal chaotic systems is investigated. Temporally chaotic and spatially ordered patterns are observed by varying the coupling strength. Spatial orderings emerge spontaneously due to self-organization of partial and nonlocal chaos synchronization, governed by various types of spatial symmetries. The first and secondary bifurcations from spatially disordered chaos to chaos with different levels of spatial orderings are observed and the scaling behaviors associated with these bifurcations are statistically analyzed.

关键词： SPATIOTEMPORAL CHAOS ELECTROCHEMICAL OSCILLATORS SYNCHRONOUS CHAOS systems POPULATIONS FLUID

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