Terminology for Neuroscience Data Discovery: Multi-tree Syntax and Investigator-Derived Semantics-Reference-Cited by-同舟云学术

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Terminology for Neuroscience Data Discovery: Multi-tree Syntax and Investigator-Derived Semantics

Published:2008-09 Issue:3 Volume:6 Page:161-174
ISSN:1539-2791
Container-title:Neuroinformatics
language:en
Short-container-title:Neuroinform

Author:

Gardner Daniel,Goldberg David H.,Grafstein Bernice,Robert Adrian,Gardner Esther P.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s12021-008-9029-7.pdf

Reference25 articles.

1. Ascoli, G. A., Alonso-Nanclares, L., Anderson, S. A., Barrionuevo, G., Benavides-Piccione, R., Petilla Interneuron Terminology Group, et al. (2008). Petilla terminology: Nomenclature of features of GABAergic interneurons of the cerebral cortex. Nature Reviews Neuroscience, 9, 318–324. doi:10.1038/nrn2402.

2. Ashburner, M., et al. (2000). Gene ontology: Tool for the unification of biology. Nature Genetics, 25, 25–29. doi:10.1038/75556.

3. Bota, M., & Arbib, M. A. (2004). Integrating databases and expert systems for the analysis of brain structures: Connections, similarities, and homologies. Neuroinformatics, 2, 19–58. doi:10.1385/NI:2:1:019.

4. Bowden, D. M., & Dubach, M. F. (2003). NeuroNames 2002. Neuroinformatics, 1, 43–60. doi:10.1385/NI:1:1:043.

5. Bug, W., Ascoli, G. A., Grethe, J. S., Gupta, A., Fennema-Notestine, C., Laird, A., et al. (2008). The NIFSTD and BIRNLex vocabularies: Building comprehensive ontologies for neuroscience. Neuroinformatics, doi:10.1007/s12021-008-9032-z.

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