Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:B1L-B

Session:

Number:296

Multilevel modeling platform and its application for modeling in neuroscience

Yoshiyuki Asai,  Hideki Oka,  Alessandro E. P. Villa,  Hiroaki Kitano,  

pp.296-299

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.296

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Summary:
Recently models of physiological systems including single neuron or neural network models are getting larger in size and more complicated in accuracy. In addition, there are a wide range of models. To enhance sharing and reusing a whole or a part of a model is an effective way to promote the computational neuroscience. A platform for model sharing, and for building multilevel models of physiological systems have been developed and presented in this article with a use case of a neural network modeling. On the platform, a model is represented as an aggregate of modules. We applied our new platform to implement the neural network model, and demonstrated the platform functions, especially focusing on a feature to create large scale models.

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