Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Chen, Tian Lun"'
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 the adding
Externí odkaz:
http://arxiv.org/abs/1010.5589
Akademický článek
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Autor:
Zhao, Xiao Wei, Chen, Tian Lun
Based on the LISSOM model and the OFC earthquake model, we introduce a self-organized feature map Neural Network model . It displays a "Self Organized Criticality"(SOC) behavior. It can be seen that the feature area (synchronized area) produced by se
Externí odkaz:
http://arxiv.org/abs/nlin/0003030
Akademický článek
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Publikováno v:
In Physica A: Statistical Mechanics and its Applications 2009 388(7):1249-1256
Autor:
Tao, Rongkun, Wang, Kui, Chen, Tian-lun, Zhang, Xin-xin, Cao, Jian-bin, Zhao, Wen-quan, Du, Jiu-lin, Mu, Yu
Publikováno v:
Cell Discovery; 6/10/2024, Vol. 10 Issue 1, p1-1, 1p
Publikováno v:
Communications in Theoretical Physics. 52:351-355
A simple model for a set of integrate-and-fire neurons based on the weighted network is introduced. By considering the neurobiological phenomenon in brain development and the difference of the synaptic strength, we construct weighted networks develop
Publikováno v:
Communications in Theoretical Physics. 51:947-953
For most networks, the weight of connection is changing with their attachment and inner affinity. By introducing a mixed mechanism of weighted-driven and inner selection, the model exhibits wide range power-law distributions of node strength and edge
Publikováno v:
Communications in Theoretical Physics. 51:97-100
The dynamical behavior in the cortical brain network of macaque is studied by modeling each cortical area with a subnetwork of interacting excitable neurons. We characterize the system by studying how to perform the transition, which is now topology-
Publikováno v:
Communications in Theoretical Physics. 50:1189-1192
It is shown that the cortical brain network of the macaque displays a hierarchically clustered organization and the neuron network shows small-world properties. Now the two factors will be considered in our model and the dynamical behavior of the mod