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Complexity matching in neural networks
This article adopts the complexity matching principle that the maximal efficiency of communication between two complex networks is realized when both of them are at criticality, and uses this principle to establish the value of the neuronal interaction strength at which criticality occurs.
Date:
January 9, 2015
Creator:
Mafahim, Javad Usefie; Lambert, David; Zare, Marzieh & Grigolini, Paolo
System:
The UNT Digital Library