Effects of Interactive Function Forms in a Self-Organized Critical Model Based on Neural Networks
Zhao Xiao-Wei, Zhou Li-Ming, Chen Tian-Lun · Communications in Theoretical Physics · 2003
Based on the standard self-organizing map neural network model and an integrate-and-fire mechanism, we introduce a kind of coupled map lattice system to investigate scale-invariance behavior in the activity of model neural populations. We let the parameter β, which together with α represents the interactive strength between neurons, have different function forms, and we find the function forms and their parameters are very important to our model's avalanche dynamical behaviors, especially to the emergence of different avalanche behaviors in different areas of our system.