Skip to main content

The NeuroHomology Database: An Online KMS for Handling and Evaluation of the Neurobiological Information

  • Chapter
Book cover Neuroscience Databases
  • 651 Accesses

Abstract

The NeuroHomology Database (NHDB) is an online knowledge management system designed for handling, systematization and processing of the neurobiological information about brain structures, neuroanatomical connections and similarities between brain nuclei from different species, as found or inferred from the literature. The NHDB has a modular structure, with a knowledge-base designed for storing the data and a set of inference engines for processing of the stored information. In this chapter we briefly describe the structure of the NHDB and discuss the important aspects of the process of searching for data inside of the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Arbib M.A. (2001) The NeuroInformatics: The Issues. In Arbib M.A., Grethe J. (eds) Computing the Brain: A Guide to Neuroinformatics, Academic Press, 3–28.

    Google Scholar 

  • Arbib M.A., Bischoff-Grethe, A. (2001) Summary databases and model repositories. In Arbib M.A., Grethe J. (eds) Computing the Brain: A Guide to Neuroinformatics, Academic Press, 287–297.

    Google Scholar 

  • Bota, M. (2001) Neural Homologies: Principles, Databases and Modeling. University of Southern California, Ph.D. Thesis.

    Google Scholar 

  • Bota M., Arbib M.A. (2000) The NeuroHomology Database. In Arbib M.A., Grethe J. (eds) Computing the Brain: A Guide to Neuroinformatics, Academic Press, 337–351.

    Google Scholar 

  • Bota, M., Arbib, M.A. (2001) The NeuroHomology Database. Neurocomputing, 38–40, 1627–31.

    Article  Google Scholar 

  • Bota, M., Arbib, M.A. (2002) Integrating Databases and Expert Systems for the Analysis of Brain Structures, Connections and Homologies. Submitted for publication.

    Google Scholar 

  • Bowden, D.M, Martin R.F. (1997) A digital Rosetta stone for primate brain terminology. In: Bloom, F.E, Bjorklund, A., Hokfelt, T. (eds), Handbook of Chemical Neuroanatomy vol. 13: The Primate Nervous System, part I, 1–37.

    Google Scholar 

  • Burns G.A.P.C. (2001) Knowledge mechanics and the NeuroScholar project: a new approach to neuroscientific theory. In Arbib M.A., Grethe J. (eds) Computing the Brain: A Guide to Neuroinformatics, Academic Press, 319–336.

    Google Scholar 

  • Burns G.A.P.C., Stephan K.E., Ludäscher B., Gupta A., Kötter R. (2001) Towards a federated neuroscientific knowledge management system using brain atlases. Neurocomputing 38–40, 1633–1641.

    Article  Google Scholar 

  • Butler, A.B., Hodos, W. (1996) Comparative vertebrate neuroanatomy: evolution and adaptation. New York: Wiley-Liss, 7–13.

    Google Scholar 

  • Cavada C, Goldman-Rakic PS. (1989) Posterior parietal cortex in rhesus monkey: I. Parcellation of areas based on distinctive limbic and sensory corticocortical connections. Journal of Comparative Neurology 287(4), 393–421.

    Article  PubMed  CAS  Google Scholar 

  • Egenhofer, M. and Franzosa, R. (1991) Point-Set Topological Spatial Relations. International Journal of Geographical Information Systems, 5(2), 161–174.

    Article  Google Scholar 

  • Felleman DJ, Van Essen DC. (1991) Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex. 1(1), 1–47.

    Article  PubMed  CAS  Google Scholar 

  • Hilgetag CC, O’Neill MA, Young MP. (2000) Hierarchical organization of macaque and cat cortical sensory systems explored with a novel network processor. Philos Trans R Soc Lond B Biol Sci. 355(1393), 71–89.

    Article  PubMed  CAS  Google Scholar 

  • Jones, E.G. (1990) History of cortical cytology. In Peters, A. and Jones, E.G (eds): Cerebral Cortex. Volume I: Cellular components of the cerebral cortex, Plenum Press, 1–34.

    Google Scholar 

  • Kötter R., Hilgetag C.C., Stephan K.E. (2001) Connectional characteristics of areas in Walker’s map of primate prefrontal cortex. Neurocomputing, 38–40, 741–46.

    Article  Google Scholar 

  • Krieg, W. J. S. (1947) Connections of the cerebral cortex. I. The albino rat. A topography of the cortical areas. Journal of Comparative Neurology, 84, 221–275.

    Article  Google Scholar 

  • Lewis JW, Van Essen DC. (2000) Mapping of architectonic subdivisions in the macaque monkey, with emphasis on parieto-occipital cortex. Journal of Comparative Neurology 428(1), 79–111.

    Article  PubMed  CAS  Google Scholar 

  • Marenco L., Nadkarni P., Skoufos E., Shepherd G., Miller P. (1999) Neuronal database integration: the Senselab EAV data model. Proceedings AMIA Symposium, 102–106.

    Google Scholar 

  • Nieuwenhuys R. (1998) Comparative Neuroanatomy: place, principles and programme. In Nieuwenhuys, R., ten Donkelaar, H.C, Nicholson, C. (eds) The central nervous system of vertebrates, Volume 1. Springer, 273–326.

    Google Scholar 

  • Papadias, D. and Sellis, T. (1994) Qualitative Representation of Spatial Knowledge in Two Dimensional Space. Very Large Data Bases Journal, 3(4), 479–516.

    Article  Google Scholar 

  • Paxinos, G. and Watson, C. (1986) The rat brain in stereotaxic coordinates. San Diego: Academic Press.

    Google Scholar 

  • Preuss T.M., Goldman-Rakic P.S. (1991) Myelo- and cytoarchitecture of the granular frontal cortex and surrounding regions in the strepsirhine primate Galago and the anthropoid primate Macaca. Journal of Comparative Neurology 310(4), 429–474.

    Article  PubMed  CAS  Google Scholar 

  • Rizzolatti G., Luppino G., Matelli M. (1998) The organization of the cortical motor system: new concepts. Electroencephalogrical Clinical Neurophysiology 106(4), 283–296.

    Article  CAS  Google Scholar 

  • Seltzer B., Pandya D.N. (1984) Further observations on parieto-temporal connections in the rhesus monkey. Experimental Brain Research 55(2), 301–312.

    Article  CAS  Google Scholar 

  • Stephan K.E., Kamper L., Bozkurt A., Burns G.A.P.C., Young M.P. & Kötier R. (2001) Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac) Philosophical Transactions of the Royal Society London B: Biological Science B 356, 1159–1186.

    Article  CAS  Google Scholar 

  • Swanson L.W. (1992) Brain Maps: Structure of the Rat Brain. Elsevier.

    Google Scholar 

  • Swanson L.W. (2000) Interactive brain maps and atlases. In Arbib M.A., Grethe J. (eds) Computing the Brain: A Guide to Neuroinformatics, Academic Press, 167–177.

    Google Scholar 

  • Walker A.E. A cytoarchitectural study of the prefrontal area of the macaque monkey. Journal of Comparative Neurology 1940; 73, 59–86.

    Article  Google Scholar 

  • Zilles, K., Wree, A. (1985) Cortex: Areal and laminar structure. In Paxinos G. (Eds.) The rat nervous system, Academic Press, 375–415.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Bota, M., Arbib, M.A. (2003). The NeuroHomology Database: An Online KMS for Handling and Evaluation of the Neurobiological Information. In: Kötter, R. (eds) Neuroscience Databases. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1079-6_14

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-1079-6_14

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5384-3

  • Online ISBN: 978-1-4615-1079-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics