[Murg] ModelDB now contains source code for 158 published models
(fwd from ted.carnevale@yale.edu)
Eugen Leitl
eugen at leitl.org
Sat Apr 30 11:35:13 EST 2005
----- Forwarded message from Ted Carnevale <ted.carnevale at yale.edu> -----
From: Ted Carnevale <ted.carnevale at yale.edu>
Date: Fri, 29 Apr 2005 16:28:05 -0400
To: Computational Neuroscience group <comp-neuro at neuroinf.org>,
Michael Hines <michael.hines at yale.edu>
Subject: ModelDB now contains source code for 158 published models
User-Agent: Mozilla Thunderbird 0.9 (X11/20041127)
Reply-To: Ted Carnevale <ted.carnevale at yale.edu>
You are being contacted as a member of the computational
neuroscience community to update you on resources currently
available at ModelDB.
Source code for 158 published models is freely available from ModelDB
http://senselab.med.yale.edu/senselab/modeldb/
ModelDB is a searchable database for convenient storage, viewing,
and retrieval of source code for published computational models
of neurons and networks. It is designed to stimulate the wider
acceptance and growth of computational neuroscience by
facilitating reproducibility and attributed reuse of models.
ModelDB is "programming language neutral." Currently it has
entries written for C/C++, FORTRAN, GENESIS, MATLAB, NEURON,
SNNAP, and XPP, most of which are ready to run. Each model
entry has links to the scientific literature to put it in the
broader context of neuroscience research.
Authors of published models are invited to contact Michael Hines
(michael.hines at yale.edu) for assistance with entering their code
into ModelDB.
If your published model is already available on the web, we'd
like to link to it. Simply send Michael the URL and the PubMed
ID number of your modeling paper (if the latter is not available,
then a bibliographic reference is fine).
ModelDB is part of the SenseLab Project
http://senselab.med.yale.edu/senselab/
and has close links to NeuronDB
http://senselab.med.yale.edu/senselab/NeuronDB/
which contains information about cellular properties that are
relevant to computational modeling.
--Michael Hines
----- End forwarded message -----
--
Eugen* Leitl <a href="http://leitl.org">leitl</a>
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