Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
The NEURON simulation environment
Neural Computation
The book of GENESIS (2nd ed.): exploring realistic neural models with the GEneral NEural SImulation System
Data Management: NetCDF: an Interface for Scientific Data Access
IEEE Computer Graphics and Applications
MPI: A Message-Passing Interface Standard
MPI: A Message-Passing Interface Standard
SED-ML --- An XML Format for the Implementation of the MIASE Guidelines
CMSB '08 Proceedings of the 6th International Conference on Computational Methods in Systems Biology
A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part I
Basic scheme of neuroinformatics platform: XooNIps
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
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The brain is a complex information processing system, which can be divided into sub-systems, such as the sensory organs, functional areas in the cortex, and motor control systems. In this sense, most of the mathematical models developed in the field of neuroscience have mainly targeted a specific sub-system. In order to understand the details of the brain as a whole, such sub-system models need to be integrated toward the development of a neurophysiologically plausible large-scale system model. In the present work, we propose a model integration library where models can be connected by means of a common data format. Here, the common data format should be portable so that models written in any programming language, computer architecture, and operating system can be connected. Moreover, the library should be simple so that models can be adapted to use the common data format without requiring any detailed knowledge on its use. Using this library, we have successfully connected existing models reproducing certain features of the visual system, toward the development of a large-scale visual system model. This library will enable users to reuse and integrate existing and newly developed models toward the development and simulation of a large-scale brain system model. The resulting model can also be executed on high performance computers using Message Passing Interface (MPI).