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. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Usui, S., Inagaki, K., Kannon, T., Kamiyama, Y., Satoh, S., Kamiji, N. L., … Shouno, H. (2009). A next generation modeling environment PLATO: Platform for collaborative brain system modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5863 LNCS, pp. 84–90). https://doi.org/10.1007/978-3-642-10677-4_9
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