Neuroscholar 1.00, a neuroinformatics databasing website

Authors
Citation
Gapc. Burns, Neuroscholar 1.00, a neuroinformatics databasing website, NEUROCOMPUT, 26-7, 1999, pp. 963-970
Citations number
18
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
26-7
Year of publication
1999
Pages
963 - 970
Database
ISI
SICI code
0925-2312(199906)26-7:<963:N1ANDW>2.0.ZU;2-M
Abstract
Describing neuroanatomical circuitry at the systems level requires the use of databases to collate published descriptions of neuroanatomical data (Bur ns, D. Phil. Thesis, Physiology Department, Oxford University, 1997; Fellem an and Van Essen, Cerebral Cortex, 1, 1991, 1-47; Scanell et al., J. Neuros ci. 15, 1995, 1463-83; Young, Proc. R. Sec. London Ser B, 252, 1993, 13-8). These data are then analyzed with computational techniques. These methods do not address the problem that qualitative neuroanatomical descriptions ca n be interpreted in different ways, and rely on the collator's skill to pro duce the correct interpretation. I describe a knowledge-base management sys tem called "NeuroScholar", designed to store multiple interpretations of ne uroanatomical tract-tracing data in a neuroanatomically consistent framewor k. I illustrate how this system may be used in conjunction with data-mining analyses. (C) 1999 Elsevier Science B.V. All rights reserved.