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Python-Based Geometry Preparation and Simulation Visualization Toolkits for STEPS

Authors :
Weiliang eChen
Erik eDe Schutter
Source :
Frontiers in Neuroinformatics, Vol 8 (2014)
Publication Year :
2014
Publisher :
Frontiers Media S.A., 2014.

Abstract

STEPS is a stochastic reaction-diffusion simulation engine that implements a spatial extension of Gillespie’s Stochastic Simulation Algorithm (SSA) in complex tetrahedral geometries. An extensive Python-based interface is provided to STEPS so that it can interact with the large number of scientific packages in Python. However, a gap existed between the interfaces of these packages and the STEPS user interface, where supporting toolkits could reduce the amount of scripting required for research projects. This paper introduces two new supporting toolkits that support geometry preparation and visualization for STEPS simulations.

Details

Language :
English
ISSN :
16625196
Volume :
8
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neuroinformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.97a970d853342f2bf8773930968a635
Document Type :
article
Full Text :
https://doi.org/10.3389/fninf.2014.00037