Kybernetik

, Volume 14, Issue 2, pp 85–100 | Cite as

Self-organization of orientation sensitive cells in the striate cortex

  • Chr. von der Malsburg
Article

Abstract

A nerve net model for the visual cortex of higher vertebrates is presented. A simple learning procedure is shown to be sufficient for the organization of some essential functional properties of single units. The rather special assumptions usually made in the literature regarding preorganization of the visual cortex are thereby avoided. The model consists of 338 neurones forming a sheet analogous to the cortex. The neurones are connected randomly to a “retina” of 19 cells. Nine different stimuli in the form of light bars were applied. The afferent connections were modified according to a mechanism of synaptic training. After twenty presentations of all the stimuli individual cortical neurones became sensitive to only one orientation. Neurones with the same or similar orientation sensitivity tended to appear in clusters, which are analogous to cortical columns. The system was shown to be insensitive to a background of disturbing input excitations during learning. After learning it was able to repair small defects introduced into the wiring and was relatively insensitive to stimuli not used during training.

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References

  1. Albus,K.: Topology of orientation sensitivity in the cortical areas 17 and 18 of the cat. Pflügers Arch. Suppl. to 339, R 91 (1973)Google Scholar
  2. Benevento,L.A., Creutzfeldt,O.D., Kuhnt,U.: Significance of intracortical inhibitions in the visual cortex. Nature (Lond.) 238, 124–126 (1972)Google Scholar
  3. Beurle,R.L.: Properties of a mass of cells capable of regenerating pulses. Phil. Trans. Roy. Soc. (Lond.) B 240, 55–94 (1956)Google Scholar
  4. Blakemore,C., Cooper,G.F.: Development of the brain depends on the visual environment. Nature (Lond.) 228, 477–478 (1970)Google Scholar
  5. Blakemore,C., Mitchell,D.E.: Environmental modification of the visual cortex and the neural basis of learning and memory. Nature (Lond.) 241, 467–468 (1973)Google Scholar
  6. Bliss,T.V.P., Gardner-Medwin,A.R.: Long-lasting increases of synaptic influence in the unanaesthetized hippocampus. J. Physiol. (Lond.) 216, 32–33 P (1971)Google Scholar
  7. Brindley,G.S.: Nerve net models of plausible size that perform many simple learning tasks. Proc. Roy. Soc. (Lond.) B 174, 173–191 (1969)Google Scholar
  8. Colonnier,H.L.: Structural design of the neocortex. In: Eccles,J.C. (Ed.): Brain and conscious experience, p. 1–21. Berlin-Heidelberg-New York: Springer 1966Google Scholar
  9. Cragg,B.G.: Are there structural alterations in synapses related to functioning? Proc. Roy. Soc. B 171, 319–323 (1968)Google Scholar
  10. Grossberg,S.: Neural expectation: cerebellar and retinal analogs of cells fired by learnable or unlearned pattern classes. Kybernetik 10, 49–57 (1972)Google Scholar
  11. Hebb,D.O.: Organization of Behaviour. New York: John Wiley 1949Google Scholar
  12. Hirsch,H.V.B., Spinelli,D.N.: Visual experience modifies distribution of horizontally and vertically oriented receptive fields in cats. Science 168, 869–871 (1970)Google Scholar
  13. Hubel,D.H., Wiesel,T.N.: Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. (Lond.) 160, 106–154 (1962)Google Scholar
  14. Hubel,D.H., Wiesel,T.N.: Receptive fields of cells in striate cortex of very young, visually inexperienced kittens. J. Neurophysiol. 26, 994–1002 (1963)Google Scholar
  15. Hubel,D.H., Wiesel,T.N.: Receptive fields and functional architecture of monkey striate cortex. J. Physiol. (Lond.) 195, 215–243 (1968)Google Scholar
  16. Joshua,D.E., Bishop,P.O.: Binocular single vision and depth discrimination. Receptive field disparities for central and peripheral vision and binocular interactions on peripheral single units in cat striate cortex. Exp. Brain. Res. 10, 389–416 (1970)Google Scholar
  17. Marr,D.: Simple memory. Phil. Trans. Roy. Soc. (Lond.) B 262, 23–81 (1971)Google Scholar
  18. Møllgaard,K., Diamond,M.C., Bennett,E.L., Rosenzweig,M.R., Lindner,B.: Quantitative synaptic changes with differential experience in rat brain. Int. J. Neurosci. 2, 113–128 (1971)Google Scholar
  19. Pettigrew,J.D.: The importance of early visual experience for neurones of the developing geniculostriate system. Invest. Ophthal. 11, 386–392 (1972)Google Scholar
  20. Ramon y Cajal,S.: Histologie du système nerveux, Vol. II. Madrid: Consejo Superior de Investigationes Cientifícas, Instituto Ramon y Cajal 1955Google Scholar
  21. Rosenblatt,F.: Principles of neurodynamics: Perceptrons and the theory of brain mechanisms. Washington D.C.: Spartan Books 1961Google Scholar
  22. Ruiz-Marcos,A., Valverde,F.: Dynamic architecture of the visual cortex. Brain Res. 19, 25–39 (1970)Google Scholar
  23. Uttley,A.M.: The informon: a network for adaptive pattern recognition. J. theor. Biol. 27, 31–67 (1970)Google Scholar
  24. Wiesel,T.N., Hubel,D.H.: Comparison of the effects of unilateral and bilateral eye closure on cortical unit responses in kittens. J. Neurophysiol. 28, 1029–1040 (1965)Google Scholar

Copyright information

© Springer-Verlag 1973

Authors and Affiliations

  • Chr. von der Malsburg
    • 1
  1. 1.Max-Planck-Institut für Biophysikalische ChemieGöttingenFRG

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