PLATO: Platform for integrating large-scale brain model from sub-system models

Abstract

Event Abstract Back to Event PLATO: Platform for integrating large-scale brain model from sub-system models Takayuki Kannon1*, Keiichiro Inagaki2, Nilton Kamiji1, Kouji Makimura1 and Shiro Usui1 1 RIKEN Brain Science Institute, Japan 2 RIKEN, Computational Science Research Program, Japan Most mathematical models in neuroscience have focused on specific sub-systems such as functional areas in the brain. In order to understand details of brain function, each sub-system model needs to be integrated toward the large-scale brain system model. In the present work, we propose a data-oriented model integration method. The main idea of our approach is to commonize the input and output of each model, so that any kind of models can be connected to each other. Our aim is to provide an integrated development environment platform for large-scale model assembled from sub-system models by means of a common data format. This platform includes the data-oriented model integration library named PLATO Network Interface Class Library (PLATONIC), a graphical user interface editor, and a database that manages common data used for model integration. This platform enable us to reuse and to integrate newly developed and existing sub-system models by minimum changes in the program codes towards development and simulation of a large-scale brain system model. As an example we here demonstrate a large-scale visual system model which covers eye optics, retina, several function of visual cortex and eye movement control to study visual illusion. Acknowledgement: This work is partially funded by "The-Next Generation Integrated Simulation of Living Matter" project, part of the Development and Use of the Next-Generation Supercomputer Project of the Ministry of Education, Culture, Sports, Science and Technology of Japan. Keywords: Large scale modeling Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Large scale modeling Citation: Kannon T, Inagaki K, Kamiji N, Makimura K and Usui S (2011). PLATO: Platform for integrating large-scale brain model from sub-system models. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00122 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Takayuki Kannon, RIKEN Brain Science Institute, Wako, Japan, kannon@med.kanazawa-u.ac.jp Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Takayuki Kannon Keiichiro Inagaki Nilton Kamiji Kouji Makimura Shiro Usui Google Takayuki Kannon Keiichiro Inagaki Nilton Kamiji Kouji Makimura Shiro Usui Google Scholar Takayuki Kannon Keiichiro Inagaki Nilton Kamiji Kouji Makimura Shiro Usui PubMed Takayuki Kannon Keiichiro Inagaki Nilton Kamiji Kouji Makimura Shiro Usui Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.