Platform for collaborative brain system modeling (PLATO): toward large scale modeling for visual system
-
1
RIKEN ,The University of Tokyo, Japan
-
2
Aichi Prefectural University, Japan
-
3
The University of Electro-Communications, Japan
-
4
Chubu University, Japan
-
5
Chukyo University, Japan
The computational simulation is the one of powerful techniques to understand the brain function systematically. However, to understand the brain function we should construct a large scale brain model and explicitly describe it basing upon the well known anatomical and neurophysiological evidences. Here we proposed a platform for the collaborative brain system modeling (PLATO) where we are able to construct a computational model using several programming language (e.g. C/C++, Python, MATLAB, Java) and integrate these models to develop a large scale model. Because the models described by different programming languages, the PLATO produces a compatible I/O data format (netCDF-NI) to connect those models at the I/O level. On the PLATO, describing a model I/O with netCDF-NI format, we can integrate the models that were described the neuronal system on realistic level, system level and function level to develop a large scale model. We also easily install and/or replace each of the models as a plug-in module after developing the large scale model when a model description level was changed. As a test case, we developed the visual system model including eye movement, eye optics, retinal network and visual cortex on the PLATO. Each of the models was connected with netCDF-NI format (fig.1A). For the eye movement part, we used an eye movement model or experimental data that was saved with netCDF-NI format. As shown in simulation results (fig.1B), we successfully integrated the models and visualize the signal processing in each visual system.
Acknowledgements:
This research was supported by the next-generation integrated simulation of living matter', part of the development and use of the next-generation supercomputer project of the ministry of education, culture, sports, science and technology.
Conference:
Neuroinformatics 2009, Pilsen, Czechia, 6 Sep - 8 Sep, 2009.
Presentation Type:
Poster Presentation
Topic:
Large scale modeling
Citation:
Inagaki
K,
Kannon
T,
Kamiyama
Y,
Satoh
S,
Kamiji
NL,
Hirata
Y,
Ishihara
A,
Shouno
H and
Usui
S
(2019). Platform for collaborative brain system modeling (PLATO): toward large scale modeling for visual system.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2009.
doi: 10.3389/conf.neuro.11.2009.08.051
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:
22 May 2009;
Published Online:
09 May 2019.
*
Correspondence:
Keiichiro Inagaki, RIKEN ,The University of Tokyo, Wako-shi, Japan, kay@isc.chubu.ac.jp