Neuroscience and Behavioral Physiology

, Volume 29, Issue 2, pp 197–204 | Cite as

Recognition of visual images in a rich sensory environment: Musical accompaniment

  • R. A. Pavlygina
  • M. V. Frolov
  • V. I. Davydov
  • G. B. Milovanova
  • A. V. Sulimov
Article

Abstract

Human recognition of visual images in the form of Arabic numerals affected by “noise” showed a reduction in the time needed for recognition and an increase in the probability of making a correct identification in a rich sensory environment (use of classical or rock music). There was no direct relationship between the volume of the music and its positive effect on the recognition of visual images. The greatest changes in the recognition time and quality of correct recognition occured at specific volume levels for both classical and rock music, and there were individual differences. The efficiency of image recognition decreased when the same musical fragments were used again with the same volume. The data are interpreted as a manifestation of the dominant.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    A. S. Batuev, G. A. Kulikov, V. G. Kaminskaya, and L. I. Futer, “The frequency characteristics of the auditory input to the frontal cortex of the cat brain,”Dokl. Akad. Nauk SSSR,223, No. 2, 507 (1975).PubMedGoogle Scholar
  2. 2.
    T. G. Beteleva, N. V. Dubrovinskaya, and D. A. Farber,Sensory Mechanisms in the Developing Brain [in Russian], Nauka, Moscow (1977).Google Scholar
  3. 3.
    A. I. Borisova, M. I. Nikiforov, M. V. Sergeevskii, and A. M. Nikiforov, “They dynamics of cortical bioflows in the cerebral hemispheres in conditions of strong positive emotions to music,” in:Proceedings of the Fifth Scientific Conference on the Development of the Singing Voice, Musical Hearing, Perception, and the Creative Musical Abilities of Children and Adolescents [in Russian], Moscow (1977), p. 64.Google Scholar
  4. 4.
    N. N. Zakharov and V. M. Avdeev, “Functional changes in the central nervous system during the perception of music,”Zh. Vyssh. Nerv. Deyat.,32, No. 5 915 (1982).Google Scholar
  5. 5.
    N. N. Lebedeva, R. A. Pavlygina, and V. I. Davydov, “Studies of the motor dominant in humans,”Zh. Vyssh. Nerv. Deyat.,41, No. 4 647 (1991).Google Scholar
  6. 6.
    T. N. Malyarenko, G. A. Kuraev, Yu. E. Malyarenko, et al., “The development of brain electrical activity in four-year-old children with prolonged enhancement of sensory flow pin the form of music,”Fiziol. Cheloveka,22, No.1, 82 (1996).Google Scholar
  7. 7.
    “Brain music,”Chelovek, No. 6, 22 (1996).Google Scholar
  8. 8.
    V. N. Myasishchev and A. L. Gotsdiner, “The effect of music in humans as indicated by electroencephalographic parameters,”Vopr. Psikhologii, No. 1, 54 (1975).Google Scholar
  9. 9.
    R. A. Pavlygina, “The dominant and its importance in animal behavior,”Usp. Fiziol. Nauk.,13, No. 2 31 (1982).PubMedGoogle Scholar
  10. 10.
    R. A. Pavlygina, A. V. Sulimov, and L. A. Zhavoronkova, “Interhemisphere EEG relationships in the hunger dominant in humans,”Dokl. Akad. Nauk SSSR,338, No. 6, 833 (1994).Google Scholar
  11. 11.
    The Role of Sensory Influx in the Maturation of Brain Function [in Russian], E. V. Maksimova and K. V. Shuleikina (Eds.), Nauka, Moscow (1987).Google Scholar
  12. 12.
    P. V. Simonov,The Emotional Brain [in Russian], Nauka, Moscow (1981).Google Scholar
  13. 13.
    A. A. Ukhtomskii,Collected Works [in Russian], Leningrad State University Press, Leningrad (1950), Vol. 1.Google Scholar
  14. 14.
    M. V. Frolov,The Control of the Functional State of the Human Operator [in Russian], Nauka, Moscow (1997).Google Scholar
  15. 15.
    N. A. Fudin, O. P. Tarakanov, and S. Ya. Klassina, “Music as a means of improving the functional state of students before examinations,”Fiziol. Cheloveka,22, No. 3, 99 (1996).PubMedGoogle Scholar
  16. 16.
    T. P. Khrizman, V. P. Eremeeva, and T. D. Loskutova,Emotions, Speech, and Brain Activity in Children [in Russian], Pedagogika, Moscow (1991).Google Scholar
  17. 17.
    S. Carlson, P. Rämä, D. Artchakov, and I. Linnankoski, “Effects of music and white noise on working memory performance in monkeys,”Neuroreport,8, 2853 (1997).PubMedGoogle Scholar
  18. 18.
    “Children think better to pop music,”Nature,380, 376 (1996).Google Scholar
  19. 19.
    Abstracts of the Twenty-Sixth International Congress of Psychiatry, “Music and the Brain” Symposium,Int. J. Psychol.,31, 187 (1996).Google Scholar
  20. 20.
    S. Katayama, Y. Hori, R. Nanba, and S. Inokuchi, “Changes in the EEG and circulatory functions during musical tasks,”Neurosciences,16, 171 (1990).Google Scholar
  21. 21.
    X. Leng and G. L. Shaw, “Toward a neural theory of higher brain function using music as a window,”Concepts in Neurosci.,2, 229 (1991).Google Scholar
  22. 22.
    J. E. Patton, D. K. Routh, and T. A. Stinard, “Where do children study? Behavioral observations,”Bull. Psychonom. Soc.,24, 439 (1986).Google Scholar
  23. 23.
    P. M. Plenger, J. J. Breier, T. D. Wheless et al., “Lateralization of memory for music: evidence from the intracarotid sodium amobarbital procedure,”Neuropsychologia,34, 1015 (1996).PubMedCrossRefGoogle Scholar
  24. 24.
    F. H. Rauscher, G. L. Shaw, L. I. Levine, and E. L. Wright, “Pilot study indicates music training of three-year-olds enhances specific spatial reasoning skills,” in:NAMM Economic Summit of the Music Products Industry, Newport Beach, California (1993), p. 26.Google Scholar
  25. 25.
    F. H. Rauscher, G. L. Shaw and K. N. Ky, “Listening to Mozart enhances spatial-temporal reasoning: towards a neurophysiological basis,”Neurosci. Lett.,185, 44 (1995).PubMedCrossRefGoogle Scholar
  26. 26.
    K. Sasaki, et al., “MEG study of cortical theta waves during concentrated mental work and strong emotion in human subjects,” in:Perception, Memory and Emotion: Frontier in Neuroscience, Toyama (1995), p. 27.Google Scholar
  27. 27.
    J. L. Walker, “Subjective reactions to music and brainwave rhythms,”Physiol. Psychol.,5, 483 (1977).Google Scholar

Copyright information

© Kluwer Academic/Plenum Publishers 1999

Authors and Affiliations

  • R. A. Pavlygina
  • M. V. Frolov
  • V. I. Davydov
  • G. B. Milovanova
  • A. V. Sulimov
    • 1
  1. 1.Institute of Higher Nervous Activity and NeurophysiologyRussian Academy of SciencesMoscow

Personalised recommendations