Modeling on brain functional memory complex networks from module view

Introduction Modeling is an effective method to identify and comprehend the abstract and complex phenomena. The modeling always has the double characters with the prototype, that is, the positive and negative, the right and wrong. But it is a feasible way to recognize the prototype, whether quickly or slowly. Perhaps the model is not corresponding with the prototype thoroughly, we believe that the modeling will provide step towards the truth of the prototype step by step. Complex network is becoming increasingly popular in our study of the real-life and science research. From the complex network view, many complex difficulties became easier based on the computer graph theory and control science. Moreover, the application on complex networks made itself stronger theory basis. Brain science is one of the challenges of human being. In the past years, many scientists from different areas contributed to the study of the brain science and gained many useful results for the subsequent study. The researches on brain mainly focused on medical science, psychology, neuroinformatics and so on. Recently, the brain science as an independent branch put their emphasis on the neruoinformatics, especially with the development of neuron image technology and neuron information process. From the clinical anatomy we got the anatomical structure of brain and set up the physical network of the brain. The functional network of the brain is becoming a thorny difficulty that caused the study upsurge. Brain functional networks are the functional networks that composed of many functional cortexes that interacted and coordinated. Any functional network was not a single neuron or a cortex but the neuron clusters or groups. Brain functional networks focused on not only the structure relations among neurons or clusters, but the dynamic characters of the networks after their construction and the application on the nervous and spirit illness. Memory is one of the functions of the brain. From the psychology, memory is looked on as an psychological action that presented cognizable behaviors and actions. From the brain science, the memory is an action or behavior of the brain actions. From the neuroinformatics, the memory is the actions of the neurons or clusters. Of course, from above views, we got many useful outcomes, including the memory cortexes, memory networks and memory characters and so on. Especially the memory small-world character made the brain functional memory network on an infusive platform. However, no study put the memory on the computer system up to now. The computer is so similar with the brain, they all memory and quickly recall. Are there any similarities between them? What is it if we make memory study from computer view? Based on above, we have done some illustrations in the paper “brain functional memory complex network view as computer system” that submitted to the 4th international conference on modeling, identification and control from the view of the functional network. In this paper, we will continue to discuss the brain functional memory network but from the structure view. Methods Module in software engineering Module is an important concept in software engineering. In a big and complex software, the analysis and design of the software structure is vital for the software implementing efficiently. There are many important concepts to help close to the implementation successfully including the abstract, the precision progressively, the information hiding, the localization and so on. All the concepts implies an idea, that is, module. Further is the module independent or modularization. Modularization is to divide the whole huge and complex software structure into some different levels modules. Every module that accomplished an independent function can be named and accessed independently, we can integrate different levels modules as a whole software. With the independent module, we can organize any levels and functions software structure easily and simply to fit for the requirements of the users.