To develop a large scale model of brain or organs of living matter, collaboration of neuroscientists specialized in those fields and integration of multiple lines of evidence into a large scale model are necessary. To implement this strategy, we have been developed PLATO (latform for the collaborative brain system modeling) where the neuroscientists enable to collaboratively make a large scale model. The PLATO consists of data management tool to search and gather resources for model development from neuroinformatics platforms in the world, the data-oriented model integration library with a graphical user interface editor, and simulation agent. The PLATO enables users to integrate and to reuse newly developing and existing sub-system models by minimum changes in the program codes with plug-in/out way for development and simulation of a large scale model. Here we introduce the features of the PLATO, a use case in a large scale modeling of visual system, and its simulation results intended for the effect of miniature eye movement on retinal signal processing using the K computer. From those results, we discuss the state of a large scale modeling in near future in the symposium.