Skip to main content

ModelDB: A Resource for Neuronal and Network Modeling

  • Chapter
Neuroscience Databases

Abstract

ModelDB is an online database (senselab.med.yale.edu/senselab/ModelDB) of published neuronal models, including models of ion channels, dendrites, axons, neurons, synapses and networks of neurons. Having ready access to the code for a model facilitates testing and verification of a model, re-use of model components to speed development of new models, and comparing a model to new experimental data. The database is useful for archiving models and for collaboration on modeling projects, and is a resource for teachers and students in both theoretical and experimental neuroscience. We describe here how to use the database: how to find specific models, how to obtain model code, how to run models, and how to contribute a model to the database.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  • Bower, J.M. and Beeman, D. (1998) The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural Simulation System. Springer-Verlag, New York.

    Google Scholar 

  • Courtemanche, M., Ramirez, R.J., and Nattel, S. (1998) Ionic mechanisms underlying human atrial action potential properties: insights from a mathematical model. Am. J. Physiol. 275, H301–21.

    PubMed  CAS  Google Scholar 

  • Crane, G.J., Hines, M.L., and Neild, T.O. (2001) Simulating the spread of membrane potential changes in arteriolar networks. Microcirculation 8, 33–43.

    PubMed  CAS  Google Scholar 

  • Hines, M.L. and Carnevale, N.T. (1997) The NEURON simulation environment. Neural Comput. 9, 1179–209.

    Article  PubMed  CAS  Google Scholar 

  • Migliore, M., Hoffman, D.A., Magee, J.C., and Johnston, D. (1999) Role of an A-type K+ conductance in the back-propagation of action potentials in the dendrites of hippocampal pyramidal neurons. J. Comput. Neurosci. 7, 5–15.

    Article  PubMed  CAS  Google Scholar 

  • Miller, P.L., Nadkarni, P., Singer, M., Marenco, L., Hines, M., and Shepherd, G. (2001) Integration of multidisciplinary sensory data: a pilot model of the human brain project approach. J. Am. Med. Inform. Assoc. 8, 34–48.

    Article  PubMed  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Davison, A.P., Morse, T.M., Migliore, M., Marenco, L., Shepherd, G.M., Hines, M.L. (2003). ModelDB: A Resource for Neuronal and Network Modeling. In: Kötter, R. (eds) Neuroscience Databases. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1079-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-1079-6_7

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5384-3

  • Online ISBN: 978-1-4615-1079-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics