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1.
Human cerebral cortex displays various dynamics patterns under different states, however the mechanism how such diverse patterns can be supported by the underlying brain network is still not well understood. Human brain has a unique network structure with different regions of interesting to perform cognitive tasks. Using coupled neural mass oscillators on human cortical network and paying attention to both global and local regions, we observe a new feature of chimera states with multiple spatial scales and a positive correlation between the synchronization preference of local region and the degree of symmetry of the connectivity of the region in the network. Further, we use the concept of effective symmetry in the network to build structural and dynamical hierarchical trees and find close matching between them. These results help to explain the multiple brain rhythms observed in experiments and suggest a generic principle for complex brain network as a structure substrate to support diverse functional patterns. 相似文献
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When multiple agencies respond to a disease outbreak (i.e., H1N1 and SARS), the coordination of actions is complex and evolves over time. There has not been any systematic empirical study of the dynamics of emerging coordination behaviour and knowledge transfer process during a disease outbreak. In this paper, we first introduce our approach for the analysis of multi-agency intervention during a disease outbreak using the study of social networks. Using social networks and its analytic framework, we explore questions such as: How does the multi-agency coordination emerge for supporting the complex knowledge transfer process during different phases of disease outbreak? How effective are these formal and informal coordination mechanisms in achieving a robust outcome in response coordination through effective knowledge transfer process during the outbreak? What are the key lessons learned by studying the emerging coordination and knowledge transfer process during past disease outbreak in improving the multi-agency preparedness for dealing with future outbreaks? The discussion is supported by a qualitative study of the implementation of the results of the analysis. We reveal that profound understanding of social network behaviour and emerging coordination concepts are pivotal to the optimisation of knowledge transfer process which is a prerequisite for successful outbreak intervention. We look qualitatively at how Hunter New England Area Health Services applied these concepts to lead a successful coordination plan during an H1N109 endemic. 相似文献
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Chaotic waveforms are natural information carriers since a correspondence can be established between the symbolic dynamics of a chaotic oscillator and the symbols of a message. Message symbols can be efficiently encoded in a chaotic waveform by applying vanishingly small perturbations to an oscillator to guide its symbolic dynamics to follow a desired course. Recently, two chaotic hybrid dynamical systems were shown to have matched filters enabling robust reception of chaotic communication waveforms in the presence of noise. The first of these, the exact shift oscillator, produces waveforms with desirable properties similar to antipodal signaling, but a physical implementation may be difficult to control using small perturbations. The second oscillator, the exact folded-band oscillator, produces less optimal waveforms but is more easily controlled. Here we introduce a method for generating waveforms of the exact shift oscillator by summing waveforms from a bank of easily controlled exact folded-band oscillators. We show that any solution of the exact shift oscillator can be so constructed using only three folded-band oscillators. Thus, this scheme allows us to realize the advantages of both chaotic systems while overcoming their individual disadvantages, thereby enabling practical chaos communications. 相似文献
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产业网络的复杂性研究与实证 总被引：16，自引：1，他引：16
本文从复杂网络的角度提出了产业网络的三个层次的复杂性水平:要素、联系和系统动力学。通过对三个层次复杂性水平的分析得到,企业在产业网络中的地位是不同的,而且产业网络是一个具有无标度特性的复杂网络。本文还给出了产业网络的宏观和微观系统动力学模型,同时应用中国半导体产业网络对复杂性进行了实证。最后,得出结论:成员之间联系的本质和动态特性是产业网络复杂性的关键方面。 相似文献
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《Journal of The Franklin Institute》2021,358(14):7170-7186
This paper studies the consensus of nonlinear multi-agent systems with periodic disturbances and uncertain dynamics based on matrix theory, adaptive control, neural networks and fourier series expansion. Firstly, fourier series expansion and neural networks are used to describe the unknown periodic time-varying parameter and uncertain nonlinear dynamic, respectively. Secondly, based on adaptive control technology and reparameterization method, two new fully distributed control protocols are designed based on symbolic function and smooth hyperbolic tangent function, respectively, so that all agents can reach asymptotic consensus. Thirdly, a new positive integral bounded function is introduced to compensate for the approximation error caused by the smooth hyperbolic tangent function instead of the symbolic function, so that all network nodes achieve the same consensus effect. Finally, a simulation example is given to verify the effectiveness of the two algorithms and to illustrate their advantages and disadvantages. 相似文献
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Collin M. Timm Ryan R. Hansen Mitchel J. Doktycz Scott T. Retterer Dale A. Pelletier 《Biomicrofluidics》2015,9(6)
Microbial communities are complex heterogeneous systems that are influenced by physical and chemical interactions with their environment, host, and community members. Techniques that facilitate the quantitative evaluation of how microscale organization influences the morphogenesis of multispecies communities could provide valuable insights into the dynamic behavior and organization of natural communities, the design of synthetic environments for multispecies culture, and the engineering of artificial consortia. In this work, we demonstrate a method for patterning microbes into simple arrangements that allow the quantitative measurement of growth dynamics as a function of their proximity to one another. The method combines parylene-based liftoff techniques with microfluidic delivery to simultaneously pattern multiple bacterial species with high viability using low-cost, customizable methods. Quantitative measurements of bacterial growth for two competing isolates demonstrate that spatial coordination can play a critical role in multispecies growth and structure. 相似文献
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This paper seeks to bridge the gap between socio-material and complex adaptive systems approaches in conceptualizing the politics of transformation. Our contribution in particular is a further clarification of the relational nature of power, and the role of non-humans in transitional dynamics of complex adaptive systems. We explore and operationalize the role of non-humans and relationality in (1) agency and (2) power, and the implications thereof for processes of (3) powering, through which power relations shape resource distributions and associated macro-scale dynamics. We consider agency as an embedded and temporal capacity for reorientation. This also entails attributing agency to entangled networks of humans and non-humans. Such a capacitive conception of agency follows from our understanding that agents and structures consist of comparable ontological building blocks, both being (networks of) components in complex adaptive systems. Power we understand as a productive and relational phenomenon that emerges from interactions between components and that structures their agency. We argue that such a ‘force-field’ understanding of power enables the observation of different types of power relations. Finally, we consider six different mechanisms through which power relations can result in a (re)distribution of resources and with that, contribute to self-reproducing or transformative systemic dynamics. With this conceptualization, we hope to advance the debate on the different facets of the politics of transformation, and to help further urgently needed transitions towards a more sustainable future. 相似文献
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Aaron Montero Ramon Huerta Francisco B. Rodriguez 《Journal of The Franklin Institute》2018,355(5):2951-2977
Neural processing layers built on divergent connectivity patterns display two types of stimulus-dependent responses: neurons that react to a few stimuli, specialists, and other ones that respond to a wide range of inputs, generalists. Specialists are essential for the discrimination of stimuli and generalists extract common and generic properties from them. This neural heterogeneity could have emerged because of animal adaptation to the environment. Thus, we suggest that there is a relationship between the percentage of specialists and generalists and the stimulus complexity. In order to study this possible relationship, we use patterns with different complexities in a bio-inspired neural network and calculate their classification errors for different ratios of these types of neurons. This study shows that, when the complexity of the stimuli is low, the minimum classification error is achieved with almost any specialist-generalist ratio. Thus, in this case, the role of these neurons during pattern recognition is unspecific. When this complexity is intermediate, both are needed to minimize the classification error, usually in a similar proportion. For increasing stimulus complexity, the importance of generalists decreases, until their relevance is fully nullified when the complexity is high. Therefore, if we adjust the specialist-generalist ratio to the complexity of patterns, we can build more effective neural networks for pattern recognition. Finally, we propose an estimation of stimulus complexity based on the proportion of these types of neurons observed by neural recordings. This offers the possibility to evaluate the stimulus complexity to which animals are adapted. 相似文献
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美丽中国是一个以生态文明建设为核心,经济、政治、文化与社会和谐发展的复杂巨系统。发展新能源汽车产业不仅可以破解环境污染和能源短缺的双重危机,而且能够培育新的经济增长点,与美丽中国建设具有天然的耦合性。通过文献研究与专家咨询,选取新能源汽车产业发展和美丽中国建设综合评价指标体系,在此基础上,采用改进的熵值法,构建耦合协调度模型和BP神经网络预测模型,对动态耦合问题进行定量研究。研究发现：(1)新能源汽车产业系统和美丽中国系统的综合发展水平均呈现稳定上升态势,整体而言新能源汽车产业发展相对滞后;(2)新能源汽车产业-美丽中国系统耦合度始终处于由拮抗向磨合过渡的阶段,但两大系统的相互联系和相互促进作用逐渐加强,耦合协调效益正在逐步提升;(3)预测结果表明未来5年新能源汽车产业系统与美丽中国系统协同发展功效持续增强,耦合协调度将从中级协调跨入良好协调阶段。 相似文献
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Even when based on simple models, a fed-batch fermentation process can demonstrate several different forms of complex dynamic behaviours throughout the course of its operation. One of the most intriguing forms of dynamic behaviours that can occur at some points during the fed-batch operation is represented by a fourth-order integrating-unstable system with multiple RHP zeros. To deal with the stabilization of this complex dynamics, a new triple-loop multi-scale control (TL-MSC) scheme is proposed. This scheme aims to first decompose the complex dynamics into three simpler sub-systems which are then separately addressed in a multi-scale structure. This paper presents both the fundamental of TL-MSC scheme and the details of its design. A typical fed-batch alcoholic fermentation is shown as an example to demonstrate the applicability of the new scheme. 相似文献
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大型复杂项目的网络不是多个子网的简单叠加,而是分层的空间结构。本文运用复杂网络理论和方法,构造了大型复杂项目空间网络结构的三元组模型,并定义了空间网络的联接运算与收缩运算;然后对子项目关联系数、子项目关键度指数、活动关键度指数及求解算法进行研究,由此可以从项目层次、子项目层次和活动层次分析大型复杂项目的空间网络结构特征,并提出针对性的管理策略。案例研究表明,本文提出的空间网络结构及网络运算可准确描述大型复杂项目的网络结构,同时通过分析网络特征可提出有效的项目管理策略。 相似文献
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Mojeed O. Oyedeji Magdi S. Mahmoud Yuanqing Xia 《Journal of The Franklin Institute》2021,358(5):2826-2845
Multiagent systems are increasingly becoming popular among researchers spanning multiple fields of study. However, existing studies only models communication interaction between agents as either fixed or switching topologies described by crisp graphs supported by algebraic graph theories. In this paper, we propose an alternative approach to describing agent interactions using fuzzy graphs. Our approach is aimed at opening up new research avenues and defining new problems in coordination control especially in terms of dynamics between agents’ states, graph topologies and coordination objectives. This paper studies distributed coordination on fuzzy graphs where the edge-weights modeling network topologies are dependent on the states of the agents in the network. In hindsight, the network weights are adjustable based on the situational state of the agents. First, we introduce the concept of fuzzy graphs and give some distinguishing features from the crisp or fixed graphs. Next, we provide some membership functions to define the state-dependent weights and finally we use some simulations to demonstrate the convergence of the proposed consensus algorithms especially for cases where the agents are subject to system failures. 相似文献
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Repeated practice is one of the most effective methods in improving the performance of coordination control tasks for groups of individuals, such as marching band, soldier (tank or warcraft) formation, and unmanned aerial vehicle flying queue. The key objective of this paper is to give a theoretical explanation for this observed behavior by considering a class of coordination learning problems for groups of mobile agents. To be specific, the agents are considered to preserve the desired relative formations between each other through a learning process, for which iterative rules are applied to construct distributed algorithms based on the relative information between each agent and its neighbors. Convergence results are derived by combining the graph theory based method and the Lyapunov analysis, which can address coordination learning problems for multi-agent systems both with and without a reference as the prior knowledge. In addition, numerical simulation results are provided to demonstrate the coordination learning performance for groups of mobile agents. 相似文献
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动物都需要认识和学习外界环境因素,并根据价值与风险做出抉择与行动;社会动物还必须有社会认知、共情、社会交往等社会行为能力;而人类有发达的自我认知、逻辑推演、意识、语言等能力。动物认知能力的好坏,决定了动物在野外是否能够成功觅食、躲避天敌、繁衍后代;而人类认知能力,则决定了个人的人生轨迹、自我价值实现乃至对社会的贡献。所有这些认知行为都是由神经细胞的功能来决定,其神经基础是脑科学的核心问题,也是人类认识自身的终极挑战。经过多年的研究,神经科学已经揭示了认知行为神经基础的一些基本原理:不同认知行为是由脑内不同的神经环路负责,需要各脑区内的局部神经环路与脑区间长程神经环路的协同工作;学习与记忆是许多认知功能的必要基础,这是由神经细胞之间突触联结的强度与结构的可塑性介导;神经调质(例如多巴胺)可以在多个尺度上调节神经网络的活动与可塑性,从而调控认知行为。文章聚焦在感知觉、学习与记忆、抉择、社会行为、意识和运动控制等方面,对认知功能的神经基础进行了概述。我们认为,未来神经科学需要结合介观和微观尺度的研究,对认知行为的神经基础进行系统与深入的阐明。在介观层面,科学家们需要描绘脑区之间细胞类型特异性的联结图谱;绘制认知功能的大脑功能图谱;利用因果性手段、揭示认知功能的核心脑区;操控不同脑区及脑区间联结的活动,进而观察认知行为的改变和其他参与环路的活动变化,从而获得脑整体动态规律。在微观层面,需要阐明不同脑区有哪些特定类型的神经元;揭示不同类型神经元是如何参与特定认知功能的;解析不同类型的神经元是如何联结以及这些联结是如何在认知行为中发生动态改变的。这些介观与微观研究将为理解宏观认知行为的神经基础提供重要线索,对于破解人类智能这一终极奥秘具有重要意义。同时,揭示认知行为的神经机制还是治疗脑疾病的必要基础,而且有助于推动脑启发(Brain Inspired)的智能技术的发展。 相似文献
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Biffi E Piraino F Pedrocchi A Fiore GB Ferrigno G Redaelli A Menegon A Rasponi M 《Biomicrofluidics》2012,6(2):24106-2410610
Spatially and temporally resolved delivery of soluble factors is a key feature for pharmacological applications. In this framework, microfluidics coupled to multisite electrophysiology offers great advantages in neuropharmacology and toxicology. In this work, a microfluidic device for biochemical stimulation of neuronal networks was developed. A micro-chamber for cell culturing, previously developed and tested for long term neuronal growth by our group, was provided with a thin wall, which partially divided the cell culture region in two sub-compartments. The device was reversibly coupled to a flat micro electrode array and used to culture primary neurons in the same microenvironment. We demonstrated that the two fluidically connected compartments were able to originate two parallel neuronal networks with similar electrophysiological activity but functionally independent. Furthermore, the device allowed to connect the outlet port to a syringe pump and to transform the static culture chamber in a perfused one. At 14 days invitro, sub-networks were independently stimulated with a test molecule, tetrodotoxin, a neurotoxin known to block action potentials, by means of continuous delivery. Electrical activity recordings proved the ability of the device configuration to selectively stimulate each neuronal network individually. The proposed microfluidic approach represents an innovative methodology to perform biological, pharmacological, and electrophysiological experiments on neuronal networks. Indeed, it allows for controlled delivery of substances to cells, and it overcomes the limitations due to standard drug stimulation techniques. Finally, the twin network configuration reduces biological variability, which has important outcomes on pharmacological and drug screening. 相似文献
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Hong-Yong Yang Yize Yang Fujun Han Mei Zhao Lei Guo 《Journal of The Franklin Institute》2019,356(2):752-765
Fractional-order calculus has been studied deeply because many networked systems can only be described with fractional-order dynamics in complex environments. When different agents of networked systems show diverse individual features, fractional-order dynamics with heterogeneous characters will be used to illustrate the multi-agent systems (MAS). Based on the distinguishing behaviors of agents, a compounded fractional-order multi-agent systems(FOMAS) is presented with diverse dynamical equations. Suppose multiple leader agents existing in FOMAS, containment consensus control of FOMAS with directed weighted topologies is studied. By applying frequency domain analysis theory of the fractional-order operator, an upper bound of delays is obtained to ensure containment controls of heterogenous FOMAS with communication delays. The consensus results of delayed fractional-order dynamics in this paper can be expanded to the integer-order models. Finally, the results are verified by simulation examples. 相似文献
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《Journal of The Franklin Institute》2023,360(13):9637-9662
This paper addresses the distributed control of delayed interconnected nonlinear systems with time-varying delays in both the local subsystems’ dynamics and the physical interconnections among the subsystems. The Takagi–Sugeno fuzzy model with nonlinear consequent parts (N-TS), which is capable to provide less complex representations than standard T–S fuzzy models, is considered to efficiently deal with this class of complex systems. Then, based on Lyapunov–Krasovskii stability arguments, a synthesis condition is proposed to design a distributed control law such that the origin of the closed-loop interconnected system is locally asymptotically stable together with a guaranteed set of admissible initial conditions for which the validity of the N-TS fuzzy model is ensured. Moreover, a quasi-convex optimization procedure is formulated to enlarge the set of admissible initial conditions. The effectiveness of the proposed synthesis condition is validated in two numerical examples, including an interconnected power network with seven generators. 相似文献
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Rennie Naidoo 《The Information Society》2014,30(5):335-348
This article reports on a test of an integrated voluntary information technology use model that draws on social identity theory to extend the functional utility model of the user. User feedback on a health care insurance firm's electronic service in South Africa was analyzed qualitatively using pattern matching to test the model's propositions. While functional utility was found to be a significant determinant of voluntary information technology use, both functional utility and symbolic needs were significant for some user segments. Information technology research can benefit from further cross-fertilization with social identity theory to explain use patterns in different voluntary contexts. Providers seeking to move beyond functional utility should consider the symbolic needs of strategically important user segments to strengthen long-term relationships. 相似文献