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Related papers: A perturbative approach to the Bak-Sneppen Model

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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.…

Adaptation and Self-Organizing Systems · Physics 2014-03-05 Dimitrije Markovic , Claudius Gros

Interaction strength is introduced in a model of evolution in d-dimension space. It is realized by imposing a constraint concerning 2d differences of fitnesses between that of any extremal site and those of its 2d nearest neighbours at each…

Statistical Mechanics · Physics 2007-05-23 W. Li , X. Cai

The theory of a flux steady-state related to avalanche formation is presented for the simplest model of a sand pile within framework of the Lorenz approach. The stationary values of sand velocity and sand pile slope are derived as functions…

Statistical Mechanics · Physics 2007-05-23 A. I. Olemskoi , A. V. Khomenko , D. O. Kharchenko

We investigate an extremal dynamics model of evolution with a variable number of units. Due to addition and removal of the units, the topology of the network evolves and the network splits into several clusters. The activity is mostly…

Statistical Mechanics · Physics 2009-10-31 Frantisek Slanina , Miroslav Kotrla

As shown recently (arXiv:0801.3056), several types of neuronal complex networks involving non-linear integration-and-fire dynamics exhibit an abrupt activation along their transient regime. Interestingly, such an avalanche of activation has…

Physics and Society · Physics 2008-02-05 Luciano da Fontoura Costa

We study the Witten-type topological field theory(W-TFT) of self-organized criticality(SOC) for stochastic neural networks. The Parisi-Sourlas-Wu quantization of general stochastic differential equations (SDEs) for neural networks, the…

Neurons and Cognition · Quantitative Biology 2022-01-31 Jian Zhai , Chaojun Yu , You Zhai

A stochastic theory for the toppling activity in sandpile models is developed, based on a simple mean-field assumption about the toppling process. The theory describes the process as an anti-persistent Gaussian walk, where the diffusion…

Statistical Finance · Quantitative Finance 2009-11-13 Martin Rypdal , Kristoffer Rypdal

A model for economic behavior, under heterogeneous spatial economic conditions is developed. The role of selection pressure in a Bak-Sneppen-like dynamics with entity diffusion on a lattice is studied by Monte-Carlo simulation taking into…

Physics and Society · Physics 2015-06-26 Marcel Ausloos , Paulette Clippe , Andrzej Pekalski

We perform a new analysis on the dissipative Olami-Feder-Christensen model on a small world topology considering avalanche size differences. We show that when criticality appears the Probability Density Functions (PDFs) for the avalanche…

Statistical Mechanics · Physics 2009-09-29 Filippo Caruso , Alessandro Pluchino , Vito Latora , Sergio Vinciguerra , Andrea Rapisarda

An improved version of the Olami-Feder-Christensen model has been introduced to consider avalanche size differences. Our model well demonstrates the power-law behavior and finite size scaling of avalanche size distribution in any range of…

Statistical Mechanics · Physics 2015-05-20 Gui-Qing Zhang , Ugur Tirnakli , Lin Wang , Tian-Lun Chen

We introduce a toy model displaying the avalanche dynamics of failure in scale-free networks. In the model, the network growth is based on the Barab\'asi and Albert model and each node is assigned a capacity or tolerance, which is constant…

Statistical Mechanics · Physics 2007-05-23 K. Rho , S. R. Hong , B. Kahng

Scale-invariant neuronal avalanches have been observed in cell cultures and slices as well as anesthetized and awake brains, suggesting that the brain operates near criticality, i.e. within a narrow margin between avalanche propagation and…

Neurons and Cognition · Quantitative Biology 2011-01-18 Tiago L. Ribeiro , Mauro Copelli , Fábio Caixeta , Hindiael Belchior , Dante R. Chialvo , Miguel A. L. Nicolelis , Sidarta Ribeiro

Recently, neuronal avalanches have been observed to display oscillations, a phenomenon regarded as the co-existence of a scale-free behaviour (the avalanches close to criticality) and scale-dependent dynamics (the oscillations). Ordinary…

Disordered Systems and Neural Networks · Physics 2020-03-09 Johannes Pausch , Rosalba Garcia-Millan , Gunnar Pruessner

This paper introduces a run-and-tumble model with self-reinforcing directionality and rests. We derive a single governing hyperbolic partial differential equation for the probability density of random walk position, from which we obtain the…

Quantitative Methods · Quantitative Biology 2022-02-09 Sergei Fedotov , Daniel Han , Alexey O Ivanov , Marco A A da Silva

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…

Neurons and Cognition · Quantitative Biology 2019-07-03 Anirban Das , Anna Levina

The vulnerability of an isolated network to cascades is fundamentally affected by its interactions with other networks. Motivated by failures cascading among electrical grids, we study the Bak-Tang-Wiesenfeld sandpile model on two…

Disordered Systems and Neural Networks · Physics 2010-10-11 Charles D. Brummitt , Raissa M. D'Souza , Elizabeth A. Leicht

We investigate, using mean-field theory and simulation, the effect of asymmetry on the critical behavior and probability density of Bak-Sneppen models. Two kinds of anisotropy are investigated: (i) different numbers of sites to the left and…

Statistical Mechanics · Physics 2015-06-24 Guilherme J. M. Garcia , Ronald Dickman

An analysis of moments and spectra shows that, while the distribution of avalanche areas obeys finite size scaling, that of toppling numbers is universally characterized by a full, nonlinear multifractal spectrum. Rare, large avalanches…

Statistical Mechanics · Physics 2009-10-31 Claudio Tebaldi , Mario De Menech , Attilio L. Stella

Disordered systems are characterized by the existence of many sample- dependent local energy minima, that cause a stepwise response when the system is perturbed. In this article we use an approach based on elementary probabilistic methods…

Disordered Systems and Neural Networks · Physics 2017-03-08 Silvio Franz , Stefano Spigler

We consider an active run-and-tumble particle (RTP) in $d$ dimensions, starting from the origin and evolving over a time interval $[0,t]$. We examine three different models for the dynamics of the RTP: the standard RTP model with…

Statistical Mechanics · Physics 2020-10-29 Francesco Mori , Pierre Le Doussal , Satya N. Majumdar , Gregory Schehr
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