Calculating Finely-Graded Ordinal Weights for Neural Connections From Neuroanatomical Data from Different Anatomical Studies

  • G. A. P. C. Burns
  • M. A. O’Neill
  • M. P. Young


Describing the gross organization of the brain at a systems level can be aided by the mathematical analysis of connections between brain regions (Young 1992, Young et al 1995, Scannell et al 1996). These analyses treat each brain region as a ‘black box’ and characterize its contribution to the system’s organization according to its connections with other brain structures. The relative importance of any single connection in terms of the organization of the system may be influenced by the size or ‘strength’ of the connection in question which could be described in terms of the number of neurons that constitute it.


Superior Colliculus Inferior Colliculus Connection Strength Pretectal Nucleus Neuroanatomical Data 
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  1. Behzadi, G., P. Kalen, et al. (1990). “Afferents to the Median Raphe Nucleus of the Rat–Retrograde Cholera-Toxin and Wheat-Germ Conjugated Horseradish-Peroxidase Tracing, and Selective D-[H-31Aspartate Labeling of Possible Excitatory Amino-Acid Inputs.” News science 37 (1): 77–100.Google Scholar
  2. Burns, G. A. P. C. and M. P. Young (1996). Neurobase: a neuroanatomical connection database and its use in providing a description of connections in the rat hippocampal system. Brain Research Assocation Abstracts, Newcastle upon Tyne.Google Scholar
  3. Felleman, D. J. and D. C. V. Essen (1991). “Distributed hierarchical processing in the primate cerebral cortex.” Cerebral Cortex 1: 1–47.PubMedCrossRefGoogle Scholar
  4. Hilgetag, C. C., M. A. O’Neill, et al. (1996). “Indeterminate organization of the visual system.” Science 271 (5250): 776–777.PubMedCrossRefGoogle Scholar
  5. Itaya, S. K. and G. W. Vanhoesen (1982). “Retinal Innervation of the Inferior Colliculus in Rat and Monkey.” Brain Research 233 (1): 45–52.PubMedCrossRefGoogle Scholar
  6. Jouve et al (1996) “A mathematical approach to the connectivity between the visual areas of the macaque monkey”, Cerebral Cortex (In press).Google Scholar
  7. Linden, R. and V.1–1. Perry (1983). “Massive Retinotectal Projection in Rats.” Brain Research 272 (1): 145–149.PubMedCrossRefGoogle Scholar
  8. Martin, P. R. (1986). “The Projection of Different Retinal Ganglion-Cell Classes to the Dorsal Lateral GeniculateNucleus in the Hooded Rat.” Experimental Brain Research 62 (1): 77–88.CrossRefGoogle Scholar
  9. Scannell, J. W., M. P. Young, et al. (1995). “Analysis of connectivity in the cat cerebral cortex.” Journal orNeuroscience 15: 1463–1483.Google Scholar
  10. Sefton, A. and B. Dreher (1995). Visual System. The Rat Nervous System. G. Paxinos, Academic Press: 833–898.Google Scholar
  11. Terhorst, G. J., H. J. Groenewegen, et al. (1984). “Phaseolus-Vulgaris Leuko-Agglutinin Immunohistochemistry–a Comparison Between Autoradiographic and Lectin Tracing of Neuronal Efferents.” Brain Research 307 (1–2): 379–383.CrossRefGoogle Scholar
  12. Trojanowski, J. Q., J. O. Gonatas, et al. (1982). “Horseradish-Peroxidase (HRP) Conjugates of Cholera Toxin and Lectins Are More Sensitive Retrogradely Transported Markers Than Free HRP.” Brain Research 231 (1): 33–50.PubMedCrossRefGoogle Scholar
  13. Wan, X. C. S., J. Q. Trojanowski, et al. (1982). “Cholera Toxin and Wheat-Germ Agglutinin Conjugates As Neuroanatomical Probes–Their Uptake and Clearance, Transganglionic and Retrograde Transport and Sensitivity.” Brain Research 243 (2): 215–224.PubMedCrossRefGoogle Scholar
  14. Young, M. P. (1992). “Objective Analysis of the topological organization of the primate cortical visual system.” Nature 358: 152–155.PubMedCrossRefGoogle Scholar
  15. Young, M. P., J. W. Scannell, et al. (1994). “Analysis of Connectivity: Neural systems in the cerebral cortex.” Reviews in the Neurosciences 5: 227–250.PubMedCrossRefGoogle Scholar
  16. Young, M. P., J. W. Scannell, et al. (1995). “Non-metric multidimensional scaling in the analysis of neuroanatomical connection data and the organization of the primate cortical visual system.” Philosophical Transactions of the Royal Society 348: 281–308.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • G. A. P. C. Burns
    • 1
  • M. A. O’Neill
    • 2
  • M. P. Young
    • 1
  1. 1.Neural Systems Group, Department of PsychologyUniversity of NewcastleNewcastle-Upon-TyneEngland
  2. 2.Department of EngineeringUniversity of OxfordOxfordUK

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