Abstract
The CoCoDat (Collation of Cortical Data) database has been designed as a powerful tool facilitating realistic modelling of cortical neurons and local circuits. In such endeavors, collating and organizing quantitative single neuron and microcircuitry data from the literature is a time consuming task and currently available databases are specialized in either qualitative data (Mirsky et al. 1998) or reconstructed morphologies (Ascoli et al. 2001, Cannon et al. 1998). CoCoDat has been designed specifically to organize uninterpreted, quantitative data according to neurophysiological concepts and provides an advanced environment for storing and retrieving detailed data on morphology, electrophysiology and connectivity collated from the published literature. All experimental data are strictly linked to exact bibliographical references as well as detailed records of the procedures used in the experiments that produced the relevant data.
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© 2003 Springer Science+Business Media New York
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D.-Johnsen, J., Maier, J., Stephan, K.E., Kötter, R. (2003). CoCoDat: Collation of Cortical Data on Neurons and Microcircuitry. In: Kötter, R. (eds) Neuroscience Databases. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1079-6_8
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DOI: https://doi.org/10.1007/978-1-4615-1079-6_8
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4615-1079-6
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