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- W2045740028 abstract "A weighted mechanism in neural networks is studied. This paper focuses on the neuron's behaviors in an area of brain. Our model could regenerate the power-law behaviors and finite size effects of neural avalanche. The probability density functions (PDFs) for the neural avalanche size differing at different times (lattice size) have fat tails with a q-Gaussian shape and the same parameter value of q in the thermodynamical limit. Above two kinds of behaviors show that our neural model can well present self-organized critical behavior. The robustness of PDFs shows the stability of self-organized criticality. Meanwhile, the avalanche scaling relation of the waiting time has been found." @default.
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- W2045740028 date "2011-07-01" @default.
- W2045740028 modified "2023-09-23" @default.
- W2045740028 title "A SIMPLE NEURON NETWORK BASED ON HEBB'S RULE" @default.
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- W2045740028 doi "https://doi.org/10.1142/s0129183111016609" @default.
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