CRCNS.ORG: a repository of high-quality data sets and tools for computational neuroscience

As in all areas of science, the interplay between experiment and computational theory is essential for making progress in understanding the brain. However, unlike many areas of science in which experimental data are routinely made publicly available, in neuroscience the normal procedure is that neurophysiology data is only available through direct contact with the experimentalists who produced the data. This paradigm greatly limits the accessibility of neurophysiology data, hindering effective progress in computational neuroscience. To help remedy this situation, the online repository CRCNS.ORG was created in 2008 to publicly disseminate high-quality neurophysiology data sets from various systems and species [1]. The goals of the repository are to serve the communities of Computational and Systems Neuroscience by providing experimental data for testing new algorithms for data analysis and modeling, and to also help experimentalists by sharing stimuli and software tools for designing experiments for which the results can be directly compared to previously obtained data. In addition, the CRCNS.ORG website provides forums and a "Market Place" for researchers and students to discuss and get help using data sets or other resources. We hope this approach will facilitate the creation of on-line communities of people interested in solving particular problems and that their exchange of information will also facilitate faster progress in computational neuroscience.