Non-curated distributed databases for experimental data and models in neuroscience.

@article{Cannon2002NoncuratedDD,
  title={Non-curated distributed databases for experimental data and models in neuroscience.},
  author={Robert C. Cannon and Fred W. Howell and Nigel H. Goddard and Erik De Schutter},
  journal={Network},
  year={2002},
  volume={13 3},
  pages={415-28}
}
Neuroscience is generating vast amounts of highly diverse data which is of potential interest to researchers beyond the laboratories in which it is collected. In particular, quantitative neuroanatomical data is relevant to a wide variety of areas, including studies of development, aging, pathology and in biophysically oriented computational modelling. Moreover, the relatively discrete and well-defined nature of the data make it an ideal application for developing systems designed to facilitate… CONTINUE READING

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