Title :
A general CellML simulation code generator using ODE solving scheme description
Author :
Amano, Akira ; Soejima, Naoki ; Shimayoshi, Takao ; Kuwabara, Hiroaki ; Kunieda, Yoshitoshi
Author_Institution :
Department of Bioinformatics, Ritsumeikan Univerisity, Shiga-ken, 525-8577, Japan
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
To cope with the complexity of the biological function simulation models, model representation with description language is becoming popular. However, simulation software itself becomes complex in these environment, thus, it is difficult to modify target computation resources or numerical calculation methods or simulation conditions. Typical biological function simulation software consists of 1) model equation, 2) boundary conditions and 3) ODE solving scheme. Introducing the description model file such as CellML is useful for generalizing the first point and partly second point, however, third point is difficult to handle. We introduce a simulation software generation system which use markup language based description of ODE solving scheme together with cell model description file. By using this software, we can easily generate biological simulation program code with different ODE solving schemes. To show the efficiency of our system, experimental results of several simulation models with different ODE scheme and different computation resources are shown.
Keywords :
Biological information theory; Biological system modeling; Computational modeling; Equations; Mathematical model; Numerical models; Vectors; Action Potentials; Animals; Computer Simulation; Humans; Models, Neurological; Neurons; Programming Languages; Software; Synaptic Transmission;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090212