Neuroscience and Behavioral Physiology

, Volume 27, Issue 4, pp 333–340 | Cite as

Real-time distribution of linked spike activity in cortical neurons during learning in the cat

  • A. V. Bogdanov
  • A. G. Galashina
  • I. V. Volkov


Analysis of the distribution of linked spike activity showed changes occurring within the structure of interneuron functional connections during learning. In an electric shock defensive reflex, concentration of linked spikes from cat motor cortex neurons was observed on signal presentation, while in a conditioned food-procuring reflex to time, this was confined to the moment at which reinforcement was provided. This can be regarded as the appearance of a reflex at the level of interneuron interactions. This conclusion is supported by the observation that in well-trained animals, concentration of linked spikes could be seen at the place of the conditioned reflex response, even in the absence of defensive and food-procuring movements.


Conditioned Stimulus Spike Train Spike Activity Spike Frequency Neuron Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    A. V. Bogdanov and A. G. Galashina, “Cross-correlation as a method for spike discrimination in multineuron traces,” Zh. Vyssh. Nerv. Deyat.,39, No. 6, 1070 (1989).Google Scholar
  2. 2.
    P. V. Bukh-Viner, I. V. Volkov, and G. Kh. Merzhanova, “Spike collectors,” Zh. Vyssh. Nerv. Deyat.,40, No. 6, 1194 (1990).Google Scholar
  3. 3.
    A. G. Galashina and A. V. Bogdanov, “Assessment of the strength of interactions between neurons in the motor cortex of the cat during a conditioned reflex to time,” Zh. Vyssh. Nerv. Deyat.,42, No. 1, 86 (1992).Google Scholar
  4. 4.
    A. G. Galashina and A. V. Bogadanov, “The temporal organization of correlational relationships between neurons in the motor cortex of the cat,” Zh. Vyssh. Nerv. Deyat.,42, No. 5 936 (1992).Google Scholar
  5. 5.
    U. G. Gasanov and A. G. Galashina, “The functional selectivity of spikes form cortical cells,” Dokl. Akad. Nauk SSSR,284, No. 1, 233 (1984).Google Scholar
  6. 6.
    A. S. Dmitriev, “Progress in ten years of research into conditioned-refelex mechanisms of time perception,” in: The Physiological Mechanisms of Perception and Evaluation of Time [in Russian], Izdatel'stvo Bashkirskogo Universiteta (Bashkir University Press), Ufa (1968), p. 3.Google Scholar
  7. 7.
    M. N. Zhadin, B. V. Bakharev, and L. P. Yakupova, “Cross-correlation analysis of the background activity o distantly located cells of the visual cortex in concious rabbits,” Zh. Vyssh. Nerv. Deyat.,36, No. 3, 529 (1986).Google Scholar
  8. 8.
    M. N. Zhadin, Yu. L. Rudnev, and N. N. Prikhod'ko, “Correlation spectral analysis of spontaneous spike activity in brain neurons,” Fiziol. Zh. SSSR,63, No. 9, 1225 (1977).PubMedGoogle Scholar
  9. 9.
    V. A. Zosimovskii, “A physiological interpretation of the statistical measures of the relationship between spike activities of distantly located neurons,” Zh. Vyssh. Nerv. Deyat.,32, No. 4 676 (1982).Google Scholar
  10. 10.
    V. A. Zosimovskii, “The shapes of histograms of auto- and cross-correlational spike activities of monosynaptic interacting neurons,” Zh. Vyssh. Nerv. Deyat.,36, No. 3, 760 (1986).Google Scholar
  11. 11.
    F. V. Kopytova and M. Ya. Rabinovich, “Microelectrode studies of a conditioned reflex to time.” Zh. Vyssh. Nerv Deyat.17, No. 6, 1023 (1967).Google Scholar
  12. 12.
    M. N. Livanov, “The neuronal mechanisms of memory,” Usp. Fiziol. Nauk,6, No. 3, 66 (1975).PubMedGoogle Scholar
  13. 13.
    I. V. Pavlova, “The time structure of linked discharges from pairs of neocortical neurons during calm consciousness in rabbits,” Zh. Vyssh. Nerv. Deyat.,38, No. 1, 80 (1988).Google Scholar
  14. 14.
    S. Sh. Rapoport and I. G. Sil'kis, “The simultaneous activity of close-lying neurons in the visual cortex of conscious cats,” Zh. Vyssh. Nerv. Deyat.,31, No. 4, 812 (1981).Google Scholar
  15. 15.
    B. M. Sidorov, “Long-term rearrangement of the processee of kinesthetic afferentation processing at the level of motor cortex neurons in the cat after lesioning of the ventrolateral nucleus of the thalamus,” Zh. Vyssh. Nerv. Deyat.,44, No. 4, 812 (1994).Google Scholar
  16. 16.
    R. D. Frostig, Z. Frowstig, and R. M. Harper, “Information trains: the technique and its use in spike train and network analysis, with examples taken from the nucleus parabrachialis medialis during sleep-waking states,” Brain Res.,322, No. 1, 67 (1984).PubMedCrossRefGoogle Scholar
  17. 17.
    U. G. Gassanov, A. G. Galashina, and A. V. Bogdanov, “The functional selectivity of cortical impulses.” Physiol. Bohemoslovac.,34, Suppl., 41 (1985).Google Scholar
  18. 18.
    G. P. Moore, J. P. Segundo, D. H. Perkel, and H. Levitan, “Statistical signs of synaptic interaction in neurons,” Biophys. J.,10, No. 9, 876 (1970).PubMedGoogle Scholar
  19. 19.
    D. H. Perkel, G. L. Gerstein, and G. P. Moore, “Neuronal spike trains and stochastic point process. II. Simultaneous spike trains,” Biophys. J.,7, No. 4, 419 (1967).PubMedCrossRefGoogle Scholar
  20. 20.
    K. Toyama, M. Kimura, and K. Tanaka, “Organization of cat visual cortex as investigated by cross-correlation technique,” J. Neurophysiol.,46, No. 2, 202 (1981).PubMedGoogle Scholar

Copyright information

© Plenum Publishing Corporation 1997

Authors and Affiliations

  • A. V. Bogdanov
  • A. G. Galashina
  • I. V. Volkov

There are no affiliations available

Personalised recommendations