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相关论文: Memory in Self Organized Criticality

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We investigate the relevance of {\sl self-organized criticality (SOC)} models in previously published empirical datasets, which includes statistical observations in astrophysics, geophysics, biophysics, sociophysics, and informatics. We…

天体物理仪器与方法 · 物理学 2025-05-05 Markus J. Aschwanden , Felix Scholkmann

The main result of this letter is that SOC naturally arises as a result of memory effects. We show that memory effects provide the mechanism for self organization. A general procedure to investigate this issue in models that display self…

凝聚态物理 · 物理学 2007-05-23 Matteo Marsili , Guido Caldarelli

The concept of Self-Organized Criticality (SOC) was proposed in an attempt to explain the widespread appearance of power-law in nature. It describes a mechanism in which a system reaches spontaneously a state where the characteristic events…

适应与自组织系统 · 物理学 2007-05-23 B. Cessac

To describe and analyze the dynamics of Self-Organized Criticality (SOC) systems, a four-state continuous-time Markov model is proposed in this paper. Different to computer simulation or numeric experimental approaches commonly employed for…

统计力学 · 物理学 2009-10-05 De Tao Mao , Yisheng Zhong

We show that correlated dynamics and long time memory persist in self-organized criticality (SOC) systems even when forced away from the defined critical point that exists at vanishing drive strength. These temporal correlations are found…

统计力学 · 物理学 2016-08-16 Ryan Woodard , David E. Newman , Raúl Sánchez , Benjamin A. Carreras

The Stock Market is a complex self-interacting system, characterized by an intermittent behaviour. Periods of high activity alternate with periods of relative calm. In the present work we investigate empirically about the possibility that…

其他凝聚态物理 · 物理学 2016-08-31 M. Bartolozzi , D. B. Leinweber , A. W. Thomas

Many natural or human-made systems encompassing local reactions and diffusion processes exhibit spatially distributed patterns of some relevant dynamical variable. These interactions, through self-organization and critical phenomena, give…

斑图形成与孤子 · 物理学 2024-07-08 Jean-François de Kemmeter , Adam Byrne , Amy Dunne , Timoteo Carletti , Malbor Asllani

It has been recently found that a number of systems displaying crackling noise also show a remarkable behavior regarding the temporal occurrence of successive events versus their size: a scaling law for the probability distributions of…

统计力学 · 物理学 2009-11-13 Alvaro Corral

Power laws in nature are considered to be signatures of complexity. The theory of self-organized criticality (SOC) was proposed to explain their origins. A longstanding principle of SOC is the \emph{separation of timescales} axiom. It…

神经元与认知 · 定量生物学 2019-07-03 Anirban Das , Anna Levina

We present a general conceptual framework for self-organized criticality (SOC), based on the recognition that it is nothing but the expression, ''unfolded'' in a suitable parameter space, of an underlying {\em unstable} dynamical critical…

adap-org · 物理学 2009-10-22 Didier Sornette , Anders Johansen , Ivan Dornic

We review the properties of the self-organized critical (SOC) forest-fire model. The paradigm of self-organized criticality refers to the tendency of certain large dissipative systems to drive themselves into a critical state independent of…

统计力学 · 物理学 2016-08-31 Siegfried Clar , Barbara Drossel , Franz Schwabl

Since Self-Organised Criticality (SOC) was introduced in the 1987 both the nature of the self-organisation and of the criticality remains controversial. Recent observations on rain precipitation and on brain activity suggest that real…

统计力学 · 物理学 2017-06-02 Lorenzo Palmieri , Henrik Jeldtoft Jensen

The interevent time of terrorism attack events is investigated by empirical data and model analysis. Empirical evidence shows it follows a scale-free property. In order to understand the dynamic mechanism of such statistic feature, an…

物理与社会 · 物理学 2009-11-15 Jun-Fang Zhu , Xiao-Pu Han , Bing-Hong Wang

We have studied the damage spreading (defined in the text) in the 'sandpile' model of self organised criticality. We have studied the variations of the critical time (defined in the text) and the total no of sites damaged at critical time…

凝聚态物理 · 物理学 2007-05-23 Ajanta Bhowal

We have studied the damage spreading (defined in the text) in the 'sandpile' model of self organised criticality. We have studied the variations of the critical time (defined in the text) and the total number of sites damaged at critical…

统计力学 · 物理学 2015-05-27 Ajanta Bhowal Acharyya

We have studied the collective behavior of a population of integrate-and-fire oscillators. We show that diversity, introduced in terms of a random distribution of natural periods, is the mechanism that permits to observe self-organized…

凝聚态物理 · 物理学 2009-10-30 Alvaro Corral , Conrad J. Perez , Albert Diaz-Guilera

Self-organized criticality (SOC) refers to the ability of complex systems to evolve towards a 2nd-order phase transition at which interactions between system components lead to scale-invariant events beneficial for system performance. For…

神经元与认知 · 定量生物学 2021-05-18 Dietmar Plenz , Tiago L. Ribeiro , Stephanie R. Miller , Patrick A. Kells , Ali Vakili , Elliott L. Capek

Power laws and distributions with heavy tails are common features of many experimentally studied complex systems, like the distribution of the sizes of earthquakes and solar flares, or the duration of neuronal avalanches in the brain.…

适应与自组织系统 · 物理学 2014-03-05 Dimitrije Markovic , Claudius Gros

The concept of "self-organized criticality" (SOC) has been introduced by Bak, Tang, and Wiesenfeld (1987) to describe the statistics of avalanches on the surface of a sandpile with a critical slope, which produces a scale-free powerlaw size…

太阳与恒星天体物理 · 物理学 2010-03-02 Markus J. Aschwanden

In this chapter of the e-book "Self-Organized Criticality Systems" we summarize some theoretical approaches to self-organized criticality (SOC) phenomena that involve percolation as an essential key ingredient. Scaling arguments, random…

混沌动力学 · 物理学 2012-07-24 Alexander V. Milovanov
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