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Related Experiment Videos

Data sharing for computational neuroscience.

Jeffrey L Teeters1, Kenneth D Harris, K Jarrod Millman

  • 1Redwood Center for Theoretical Neuroscience & Helen Wills Neuroscience Institute, University of California, Berkeley, 3210F Tolman Hall, MC 3192, Berkeley, CA 94720-3192, USA.

Neuroinformatics
|February 9, 2008
PubMed
Summary
This summary is machine-generated.

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Computational neuroscience aims to understand the brain by integrating data. A 2007 workshop recommended data sharing, leading to new funding for accessible neuroscience datasets.

Area of Science:

  • Computational neuroscience
  • Neuroscience data sharing

Background:

  • Neuroscience research is fragmented across different levels of study.
  • Limited data accessibility hinders the development and testing of computational models.

Framework:

  • A 2007 workshop convened experts to address neuroscience data accessibility.
  • Recommendations focused on computational neuroscience as a key area for data sharing initiatives.
  • Development of specific methods, strategies, and policies for effective data dissemination was proposed.

Implementation:

  • The National Science Foundation (NSF) and National Institutes of Health (NIH) established the Collaborative Research in Computational Neuroscience (CRCNS) program.
  • A new CRCNS funding area specifically supports data sharing efforts.

Related Experiment Videos

  • The program aims to disseminate high-quality datasets with significant value for computational neuroscience.

    • Implications:

    • The first CRCNS data sharing program round supports dataset preparation for public release in 2008.
    • Initiatives include sharing electrophysiology and behavioral (eye movement) data.
    • Enhanced data accessibility is expected to accelerate progress in understanding brain function through computational modeling.