A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling

Authors:
Shiro Usui;Keiichiro Inagaki;Takayuki Kannon;Yoshimi Kamiyama;Shunji Satoh;Nilton L. Kamiji;Yutaka Hirata;Akito Ishihara;Hayaru Shouno
Affiliations:
Laboratory for Neuroinformatics, RIKEN Brain Science Institute, and Computational Science Research Program, RIKEN,;Computational Science Research Program, RIKEN,;Laboratory for Neuroinformatics, RIKEN Brain Science Institute,;School of Information Science and Technology, Aichi Prefectural University,;Graduate School of Information Systems, The University of Electro-Communications,;Laboratory for Neuroinformatics, RIKEN Brain Science Institute,;Department of Computer Science, Chubu University,;School of Information Science and Technology, Chukyo University,;Department of Information and Communication Engineering, The University of Electro-Communications,
Venue:
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part I
Year:
2009

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Cited 2

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Abstract

To understand the details of brain function, a large scale system model that reflects anatomical and neurophysiological characteristics needs to be implemented. Though numerous computational models of different brain areas have been proposed, these integration for the development of a large scale model have not yet been accomplished because these models were described by different programming languages, and mostly because they used different data formats. This paper introduces a platform for a collaborative brain system modeling (PLATO) where one can construct computational models using several programming languages and connect them at the I/O level with a common data format. As an example, a whole visual system model including eye movement, eye optics, retinal network and visual cortex is being developed. Preliminary results demonstrate that the integrated model successfully simulates the signal processing flow at the different stages of visual system.