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Model Structure Analysis in NEURON

Toward Interoperability Among Neural Simulators

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Part of the book series: Methods in Molecular Biology™ ((MIMB,volume 401))

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

  1. 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.

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  2. ModelDB http://senselab.med.yale.edu/senselab/modeldb/.

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  3. Hines, M.L. and Carnevale, N.T. (2001) NEURON: a tool for neuroscientists. The Neuroscientist 7, 123–135.

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  4. NEURON http://www.neuron.yale.edu/.

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  5. Poirazi, P., Brannon, T., Mel, B.W. (2003) Arithmetic of subthreshold synaptic summation in a model CA1 pyramidal cell. Neuron 37, 977–987.

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  6. MorphML http://www.morphml.org/.

  7. Catacomb http://www.catcmb.org/.

  8. GENESIS http://www.genesis-sim.org/GENESIS/.

  9. NeuroML http://www.neuroml.org/.

  10. BrainML http://brainml.org/.

  11. CellML http://www.cellml.org/.

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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

  • eBook Packages: Springer Protocols

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