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ModelDB: A Database to Support Computational Neuroscience.

Michael L Hines1, Thomas Morse, Michele Migliore

  • 1Department of Computer Science, Yale University, New Haven CT, USA. michael.hines@yale.edu

Journal of Computational Neuroscience
|June 26, 2004
PubMed
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Computational neuroscience models require wider dissemination. ModelDB, a web-accessible database, facilitates sharing and testing of these computational models across platforms, with this article guiding new model entries.

Area of Science:

  • Computational neuroscience
  • Computational modeling
  • Scientific databases

Background:

  • Wider dissemination and testing of computational models are essential for advancing computational neuroscience.
  • Existing methods for sharing and testing models are insufficient.
  • Databases are emerging as a solution for model dissemination.

Purpose of the Study:

  • To introduce ModelDB, a web-accessible database for computational neuroscience models.
  • To provide a guide for users to enter new models into ModelDB.
  • To promote the wider use and testing of computational models.

Main Methods:

  • ModelDB is a web-accessible platform.
  • It allows for convenient entry, retrieval, and execution of published models.

Related Experiment Videos

  • The article serves as a user guide for model submission.

    • Main Results:

    • ModelDB offers a centralized repository for computational neuroscience models.
    • The database supports running models on various platforms.
    • A clear process for model submission is outlined.

    Conclusions:

    • ModelDB enhances the accessibility and reusability of computational neuroscience models.
    • Facilitating model sharing accelerates research and validation in the field.
    • This guide empowers researchers to contribute to the ModelDB resource.