Title |
STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python
|
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Published in |
Frontiers in Neuroinformatics, June 2009
|
DOI | 10.3389/neuro.11.015.2009 |
Pubmed ID | |
Authors |
Stefan Wils, Erik De Schutter |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 5 | 4% |
Japan | 2 | 2% |
United States | 2 | 2% |
United Kingdom | 2 | 2% |
Chile | 1 | <1% |
India | 1 | <1% |
Lithuania | 1 | <1% |
France | 1 | <1% |
Russia | 1 | <1% |
Other | 3 | 2% |
Unknown | 102 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 28% |
Student > Ph. D. Student | 29 | 24% |
Student > Master | 10 | 8% |
Student > Bachelor | 8 | 7% |
Professor | 7 | 6% |
Other | 20 | 17% |
Unknown | 13 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 28% |
Computer Science | 14 | 12% |
Engineering | 12 | 10% |
Physics and Astronomy | 11 | 9% |
Neuroscience | 8 | 7% |
Other | 27 | 22% |
Unknown | 15 | 12% |