Neuroscience and Behavioral Physiology

, Volume 27, Issue 5, pp 570–577 | Cite as

Relationship between learning characteristics and the properties of visual objects in rhesus macaques

  • K. N. Dudkin
  • I. V. Chueva
Article

Abstract

Behavioral studies were carried out on Rhesus macaques to investigate the relationship between the processes of learning a visual differentiation task and various properties of the stimuli, with the aim of identifying the effect on learning of a cognitive factor such as the biological significance of the visual object. Cluster analysis of a number of features of the learning process was used to distinguish visual stimuli (16 pairs) into separate compact classes of similar objects, each of which appeared to be characterized by its level of biological significance. A scheme describing the learning process, and including an assessment of the significance of sensory information, is proposed.

Key words

Rhesus macaque visual discrimination learning process cluster analysis biological significance object classes 

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References

  1. 1.
    S. A. Aivazyan, V. M. Bukhshtaber, N. S. Enyukov, and L. D. Meshalkin, Applied Statistics [in Russian], Moscow (1989).Google Scholar
  2. 2.
    P. K. Anokhin, “The theory of functional systems,” Usp. Fiziol. Nauk.,1, No. 1, 19–54 (1970).Google Scholar
  3. 3.
    M. M. Bongard, The Problem of Recognition [in Russian], Moscow (1967).Google Scholar
  4. 4.
    K. N. Dudkin, Visual Perception and Memory [in Russian], Leningrad (1985).Google Scholar
  5. 5.
    K. N. Dudkin, V. K. Kruchinin, Yu. V. Skryminskii, and I. V. Chueva, Methods for Automated Studies of the Neuronal Mechanisms of Behavior [in Russian], Leningrad (1989).Google Scholar
  6. 6.
    I. P. Pavlov, Lectures on the Functions of the Cerebral Hemispheres [in Russian], Leningrad (1937).Google Scholar
  7. 7.
    I. M. Sechenov, Physiology and Psychology, Selected Works [in Russian], Moscow (1952), Vol. 1.Google Scholar
  8. 8.
    P. V. Simonov, The Emotional Brain [in Russian], Moscow (1981).Google Scholar
  9. 9.
    E. N. Sokolov, Neuronal Mechanisms of Memory and Learning [in Russian], Moscow (1981).Google Scholar
  10. 10.
    K. V. Sudakov, A. General Theory of Functional Systems [in Russian], Moscow (1984).Google Scholar
  11. 11.
    J. J. Gibson, The Ecological Approach to Visual Perception, Boston (1979).Google Scholar
  12. 12.
    W. E. Hick, “On the rate of gain of information,” Quart. J. Exp. Psychol.,4, No. 1, 11–23 (1952).CrossRefGoogle Scholar
  13. 13.
    D. H. Hubel and T. N. Wiesel, “Receptive fields of single neurons in the cat's striate cortex,” J. Physiol. (London),148, No. 3, 574–591 (1959).Google Scholar
  14. 14.
    R. Hyman, “Stimulus information as a determinant of time,” J. Psychol.,45, No. 3, 188–197 (1953).Google Scholar
  15. 15.
    J. Y. Lettwin, H. R. Maturana, W. S. McCulloch, and W. H. Pitts, “What the frog's eye tells the frog's brain,” Proc. IRE,47, No. 11, 1940–1951 (1959).Google Scholar
  16. 16.
    D. McFarland, Animal Behavior [Russian translation], Moscow (1988).Google Scholar
  17. 17.
    K. E. Shannon, Studies on Information Theory and Cybernetics [Russian translation] Moscow (1963).Google Scholar
  18. 18.
    STATGRAPHICS User's Guide, STSC Inc. (1987).Google Scholar
  19. 19.
    J. Von Uexkull, A Stroll through the Worlds of Animal and Man. Instructive Behavior, C. H. Schiller (Ed.), New York (1957), pp. 5–80.Google Scholar

Copyright information

© Plenum Publishing Corporation 1997

Authors and Affiliations

  • K. N. Dudkin
  • I. V. Chueva

There are no affiliations available

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