Publication
Title
STEPS: modeling and simulating complex reaction-diffusion systems with Python
Author
Abstract
We describe how the use of the Python language improved the user interface of the program STEPS. STEPS is a simulation platform for modeling and stochastic simulation of coupled reaction-diffusion systems with complex 3-dimensional boundary conditions. Setting up such models is a complicated process that consists of many phases. Initial versions of STEPS relied on a static input format that did not cleanly separate these phases, limiting modelers in how they could control the simulation and becoming increasingly complex as new features and new simulation algorithms were added. We solved all of these problems by tightly integrating STEPS with Python, using SWIG to expose our existing simulation code.
Language
English
Source (journal)
Frontiers in neuroinformatics. - -
Publication
2009
ISSN
1662-5196
DOI
10.3389/NEURO.11.015.2009
Volume/pages
3 (2009) , p. 15,1-15,8
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
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Affiliation
Publications with a UAntwerp address
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Record
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Creation 28.10.2009
Last edited 15.03.2022
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