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Cascading large-amplitude bursts in neural activity, termed avalanches, are thought to provide insight into the complex spatially distributed interactions in neural systems. In human neuroimaging, for example, avalanches occurring during…

神经元与认知 · 定量生物学 2021-07-28 Kanika Bansal , Javier O. Garcia , Nina Lauharatanahirun , Sarah F. Muldoon , Paul Sajda , Jean M. Vettel

The critical behaviour of a Random Fiber Bundle Model with mixed uniform distribution of threshold strengths and global load sharing rule is studied with a special emphasis on the nature of distribution of avalanches for different…

统计力学 · 物理学 2009-11-11 Uma Divakaran , Amit Dutta

Molecular dynamics simulations with varying damping are used to examine the effects of inertia and spatial dimension on sheared disordered solids in the athermal, quasistatic limit. In all cases the distribution of avalanche sizes follows a…

软凝聚态物质 · 物理学 2015-03-17 K. Michael Salerno , Mark O. Robbins

Acoustic emission signals have been shown to accompany avalanche-like events in materials, such as dislocation avalanches in crystalline solids, collapse of voids in porous matter or domain wall movement in ferroics. The data provided by…

信号处理 · 电气工程与系统科学 2024-11-28 Dénes Berta , Balduin Katzer , Katrin Schulz , Péter Dusán Ispánovity

The nature of the critical point of the Anderson transition in high magnetic fields is discussed with an emphasis on scale invariance and universality of the critical exponent. Special attention is paid to the distribution function of the…

介观与纳米尺度物理 · 物理学 2009-10-31 Tomi Ohtsuki , Keith Slevin , Tohru Kawarabayashi

The zero-temperature random-field Ising model is solved analytically for magnetisation vs external field for a bi-layered Bethe lattice. The mechanisms of infinite avalanches which are observed for small values of disorder are established.…

统计力学 · 物理学 2013-08-21 Thomas P Handford , Francisco J Pérez-Reche , Sergei N Taraskin

A random neighbor extremal stick-slip model is introduced. In the thermodynamic limit, the distribution of states has a simple analytical form and the mean avalanche size, as a function of the coupling parameter, is exactly calculable. The…

统计力学 · 物理学 2010-06-10 Osame Kinouchi , Carmen P. C. do Prado

Uniform spherical beads were used to explore the behavior of a granular system near its critical angle of repose on a conical bead pile. We found two tuning parameters that could take the system to a critical point where a simple power-law…

Memcomputing is a novel computing paradigm that employs time non-locality (memory) to solve combinatorial optimization problems. It can be realized in practice by means of non-linear dynamical systems whose point attractors represent the…

统计力学 · 物理学 2020-01-08 Sean R. B. Bearden , Forrest C. Sheldon , Massimiliano Di Ventra

Crackling noise is a common feature in many systems that are pushed slowly, the most familiar instance of which is the sound made by a sheet of paper when crumpled. In percolation and regular aggregation clusters of any size merge until a…

无序系统与神经网络 · 物理学 2013-09-26 Malte Schroeder , S. H. Ebrahimnazhad Rahbari , Jan Nagler

The presence of universality of avalanches characterizing the inelastic response of disordered materials has the potential to bridge the gap from micro- to macroscale. In this study, we explore the statistics and the scaling behavior of…

无序系统与神经网络 · 物理学 2023-08-03 Somar Shekh Alshabab , Bernd Markert , Franz Bamer

We present exact results for the critical behavior of the RFIM on complete graphs and trees, both at equilibrium and away from equilibrium, i.e., models for hysteresis and Barkhausen noise. We show that for stretched exponential and power…

无序系统与神经网络 · 物理学 2009-11-07 R. Dobrin , J. H. Meinke , P. M. Duxbury

We solve a long-standing puzzle in Statistical Mechanics of disordered systems. By performing a high-statistics simulation of the D=3 random-field Ising model at zero temperature for different shapes of the random-field distribution, we…

无序系统与神经网络 · 物理学 2013-05-31 Nikolaos G. Fytas , Victor Martin-Mayor

Numerous systems ranging from deformation of materials to earthquakes exhibit bursty dynamics, which consist of a sequence of events with a broad event size distribution. Very often these events are observed to be temporally correlated or…

The "Self-organized criticality" (SOC), introduced in 1987 by Bak, Tang and Wiesenfeld, was an attempt to explain the 1/f noise, but it rapidly evolved towards a more ambitious scope: explaining scale invariant avalanches. In two decades,…

统计力学 · 物理学 2011-04-27 Osvanny Ramos

Avalanche dynamics and related power law statistics are ubiquitous in nature, arising in phenomena like earthquakes, forest fires and solar flares. Very interestingly, an analogous behavior is associated with many condensed matter systems,…

无序系统与神经网络 · 物理学 2009-02-09 Benedetta Cerruti , Eduard Vives

In this paper, we compare the results obtained from the low-frequency Barkhausen noise recordings performed on a VITROPERM 800 metallic glass sample with the results from the numerical simulations of the Random Field Ising Model systems. We…

无序系统与神经网络 · 物理学 2023-09-22 Djordje Spasojevic , Milos Marinkovic , Dragutin Jovkovic , Sanja Janicevic , Lasse Laurson , Antonije Djordjevic

A simple mechanical spring-block model is introduced for studying magnetization phenomena and in particularly the Barkhausen noise. The model captures and reproduces the accepted microscopic picture of domain wall movement and pinning.…

软凝聚态物质 · 物理学 2009-11-10 K. Kovacs , Y. Brechet , Z. Neda

We build a minimal, mean-field, model of plasticity of amorphous solids, based upon a phenomenology of dissipative events derived, in a preceding paper [A. Lemaitre, C. Caroli, arXiv:0705.0823] from extensive molecular simulations. It…

无序系统与神经网络 · 物理学 2016-08-14 Anaël Lemaître , Christiane Caroli

Lightning, the most colossal discharge in nature, and flux avalanches in quantum superconductors--phenomena separated by twenty orders of magnitude in scale--display striking fractal similarity. We demonstrate that this is no mere analogy…

统计力学 · 物理学 2026-05-19 Zhe Li