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STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python

Overview of attention for article published in Frontiers in Neuroinformatics, June 2009
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Title
STEPS: Modeling and Simulating Complex Reaction-Diffusion Systems with Python
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

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%