Summary
One of the more important recent additions to the NEURON simulation environment is a tool called ModelView, which simplifies the task of understanding exactly what biological attributes are represented in a computational model. Here, we illustrate how ModelView contributes to the understanding of models and discuss its utility as a neuroinformatics tool for analyzing models in online databases and as a means for facilitating interoperability among simulators in computational neuroscience.
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References
Migliore, M., Morse, T.M., Davison, A.P., Marenco, L., Shepherd, G.M., Hines, M.L. (2003) ModelDB: making models publicly accessible to support computational neuroscience. Neuroinformatics 1, 131–134.
ModelDB http://senselab.med.yale.edu/senselab/modeldb/.
Hines, M.L. and Carnevale, N.T. (2001) NEURON: a tool for neuroscientists. The Neuroscientist 7, 123–135.
NEURON http://www.neuron.yale.edu/.
Poirazi, P., Brannon, T., Mel, B.W. (2003) Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell. Neuron 37, 977–987.
MorphML http://www.morphml.org/.
Catacomb http://www.catcmb.org/.
GENESIS http://www.genesis-sim.org/GENESIS/.
NeuroML http://www.neuroml.org/.
BrainML http://brainml.org/.
CellML http://www.cellml.org/.
Acknowledgments
We are grateful for the support from NIH grants NS11613 and 5P01DC004732 (Human Brain Project).
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© 2007 Humana Press Inc.
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Hines, M.L., Morse, T.M., Carnevale, N.T. (2007). Model Structure Analysis in NEURON. In: Neuroinformatics. Methods in Molecular Biology™, vol 401. Humana Press. https://doi.org/10.1007/978-1-59745-520-6_6
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DOI: https://doi.org/10.1007/978-1-59745-520-6_6
Publisher Name: Humana Press
Print ISBN: 978-1-58829-720-4
Online ISBN: 978-1-59745-520-6
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