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The existence of power-law distributions is only a first requirement in the validation of the critical behavior of a system. Long-range spatio-temporal correlations are fundamental for the spontaneous neuronal activity to be the expression…

统计力学 · 物理学 2018-11-27 Fabrizio Lombardi , Hans J. Herrmann , L. de Arcangelis

The observation of apparent power-laws in neuronal systems has led to the suggestion that the brain is at, or close to, a critical state and may be a self-organised critical system. Within the framework of self-organised criticality a…

神经元与认知 · 定量生物学 2014-10-22 Caroline Hartley , Timothy J Taylor , Istvan Z Kiss , Simon F Farmer , Luc Berthouze

Extended numerical simulations of threshold models have been performed on a human brain network with N=836733 connected nodes available from the Open Connectome project. While in case of simple threshold models a sharp discontinuous phase…

无序系统与神经网络 · 物理学 2016-12-28 Géza Ódor

Hallmarks of criticality, such as power-laws and scale invariance, have been empirically found in cortical networks and it has been conjectured that operating at criticality entails functional advantages, such as optimal computational…

无序系统与神经网络 · 物理学 2014-11-13 Paolo Moretti , Miguel A. Muñoz

Neuronal avalanches are a novel mode of activity in neuronal networks, experimentally found in vitro and in vivo, and exhibit a robust critical behaviour: These avalanches are characterized by a power law distribution for the size and…

神经元与认知 · 定量生物学 2012-04-02 Lucilla de Arcangelis , Hans J. Herrmann

Avalanches of electrochemical activity in brain networks have been empirically reported to obey scale-invariant behavior --characterized by power-law distributions up to some upper cut-off-- both in vitro and in vivo. Elucidating whether…

神经元与认知 · 定量生物学 2018-01-03 Matteo Martinello , Jorge Hidalgo , Serena di Santo , Amos Maritan , Dietmar Plenz , Miguel A. Muñoz

I provide numerical evidence for the robustness of the Griffiths phase (GP) reported previously in dynamical threshold model simulations on a large human brain network with N=836733 connected nodes. The model, with equalized network…

无序系统与神经网络 · 物理学 2019-03-27 Géza Ódor

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…

无序系统与神经网络 · 物理学 2020-03-09 Johannes Pausch , Rosalba Garcia-Millan , Gunnar Pruessner

Many experimental results, both in-vivo and in-vitro, support the idea that the brain cortex operates near a critical point, and at the same time works as a reservoir of precise spatio-temporal patterns. However the mechanism at the basis…

神经元与认知 · 定量生物学 2019-06-14 S. Scarpetta , I. Apicella , L. Minati , A. de Candia

The activity in the brain cortex remarkably shows a simultaneous presence of robust collective oscillations and neuronal avalanches, where intermittent bursts of pseudo-synchronous spiking are interspersed with long periods of quiescence.…

适应与自组织系统 · 物理学 2023-08-16 Max Contreras , Everton S. Medeiros , Anna Zakharova , Philipp Hövel , Igor Franović

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…

Spontaneous brain activity in the absence of external stimuli is not random but contains complex dynamical structures such as neuronal avalanches with power-law duration and size distributions. These experimental observations have been…

生物物理 · 物理学 2024-12-04 Lik-Chun Chan , Tsz-Fung Kok , Emily S. C. Ching

We study a simple model for a neuron function in a collective brain system. The neural network is composed of uncorrelated random scale-free network for eliminating the degree correlation of dynamical processes. The interaction of neurons…

统计力学 · 物理学 2007-05-23 Kyoung Eun Lee , Jae Woo Lee

Complex systems, when poised near a critical point of a phase transition between order and disorder, exhibit a dynamics comprising a scale-free mixture of order and disorder which is universal, i.e. system-independent (1-5). It allows…

神经元与认知 · 定量生物学 2009-12-31 Dietmar Plenz , Dante R. Chialvo

Many systems in Nature exhibit avalanche dynamics with scale-free features. A general scaling theory has been proposed for critical avalanche profiles in crackling noise, predicting the collapse onto a universal avalanche shape, as well as…

神经元与认知 · 定量生物学 2022-09-14 Manoj K. Nandi , Alessandro Sarracino , Hans J. Herrmann , Lucilla de Arcangelis

Recent experimental observations have supported the hypothesis that the cerebral cortex operates in a dynamical regime near criticality, where the neuronal network exhibits a mixture of ordered and disordered patterns. However, A…

神经元与认知 · 定量生物学 2023-09-08 Longbin Zeng , Fengjian Feng , Wenlian Lu

Spontaneous neuronal activity is a ubiquitous feature of cortex. Its spatiotemporal organization reflects past input and modulates future network output. Here we study whether a particular type of spontaneous activity is generated by a…

神经元与认知 · 定量生物学 2009-11-09 Woodrow L. Shew , Hongdian Yang , Thomas Petermann , Rajarshi Roy , Dietmar Plenz

Observations of power laws in neural activity data have raised the intriguing notion that brains may operate in a critical state. One example of this critical state is "avalanche criticality," which has been observed in various systems,…

神经元与认知 · 定量生物学 2023-10-16 Mia C. Morrell , Ilya Nemenman , Audrey J. Sederberg

Self-organized critical states are found in many natural systems, from earthquakes to forest fires, they have also been observed in neural systems, particularly, in neuronal cultures. However, the presence of critical states in the awake…

We study a new biologically motivated model for the Macaque monkey primary visual cortex which presents power-law avalanches after a visual stimulus. The signal propagates through all the layers of the model via avalanches that depend on…

神经元与认知 · 定量生物学 2016-11-21 G. S. Bortolotto , M. Girardi-Schappo , J. J. Gonsalves , L. T. Pinto , M. H. R. Tragtenberg
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