Modeling and function assessing with meditation training on brain functional memory network

Modeling on memory network is an important way to understand the memory mechanism in brain functional complex network. Function assessing is a necessary channel to verify the accuracy of the results that will be applied to the theory strengthening and practice conductions, also the clinical remedy. In order to get abstract memory model, we present the theoretical analysis method by the artificial neural network and experimental test method by the meditation training on the basis of the graph theory. Meanwhile we put forward our hypothesis about working memory existing before the experimental tasks. In terms of the behavior and functional analysis of memory characters on the fMRI data, the hypothesis was verified and the memory network was modeled with small-world characteristic. The results implied that the processing solution of the brain functional memory network was feasible and effective on the references and conductions to the brain memory clinical researches.