ModelDB: A finite volume method for stochastic integrate-and-fire models (Marpeau et al. 2009)

A finite volume method for stochastic integrate-and-fire models (Marpeau et al. 2009)

Accession: 120137

"The stochastic integrate and fire neuron is one of the most commonly used stochastic models in neuroscience. Although some cases are analytically tractable, a full analysis typically calls for numerical simulations. We present a fast and accurate finite volume method to approximate the solution of the associated Fokker-Planck equation. ..."
Reference: Marpeau F, Barua A, Josic K (2009) A finite volume method for stochastic integrate-and-fire models. J Comput Neurosci 26:445-57 [PubMed]

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Model Information (Click on a link to find other models with that property)

Model Type:	Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	FORTRAN (web link to a model);
Model Concept(s):	Simplified Models; Methods;
Implementer(s):

Model files (located externally to ModelDB) Help downloading and running models

The authors indicate in the text of their paper that source
code is available for their method from this link:

http://neuro-fvif.sourceforge.net/neuro-fvif.tar.gz

The project is accessible here:
http://neuro-fvif.sourceforge.net
which includes a pdf on user's guidelines for the code.

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