Python-based toolkits for STEPS (Chen and De Schutter 2014)


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Accession:153351
We provide two examples to demonstrate the use of the geometry preparation toolkit and the visualization tool for STEPS, described in Chen W and De Schutter E (2014). The package contains two folders, each for an individual example. The ip3r folder contains mesh data and simulation scripts for the IP3 receptor model described in the paper, and the AD folder contains data and scripts for Anomalous Diffusion simulation. Please read the instruction.pdf file within the package for detail instructions.
Reference:
1 . Chen W, De Schutter E (2014) Python-based geometry preparation and simulation visualization toolkits for STEPS. Front Neuroinform 8:37 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Dendrite;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): IP3;
Gene(s):
Transmitter(s):
Simulation Environment: STEPS (web link to model);
Model Concept(s):
Implementer(s): Chen, Weiliang [w.chen at oist.jp];
Search NeuronDB for information about:  IP3;
(located via links below)
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