TY - JOUR
T1 - PLATO
T2 - Data-oriented approach to collaborative large-scale brain system modeling
AU - Kannon, Takayuki
AU - Inagaki, Keiichiro
AU - Kamiji, Nilton L.
AU - Makimura, Kouji
AU - Usui, Shiro
N1 - Funding Information:
We thank Drs. Shunji Satoh, Yoshimi Kamiyama, Yutaka Hirata, Akito Ishihara, and Hayaru Shouno for valuable discussion for development and Yoshihiro Okumura for technical support. 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.
PY - 2011/11
Y1 - 2011/11
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=80053184859&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053184859&partnerID=8YFLogxK
U2 - 10.1016/j.neunet.2011.06.011
DO - 10.1016/j.neunet.2011.06.011
M3 - Article
C2 - 21767932
AN - SCOPUS:80053184859
SN - 0893-6080
VL - 24
SP - 918
EP - 926
JO - Neural Networks
JF - Neural Networks
IS - 9
ER -