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A Preliminary Note on Spatial EEG Correlates of Olfactory Conditioning

  • Kamil A. Grajski

Abstract

The vertebrate olfactory epithelium (100–200 µm thick) covers roughly 100 cm2 and contains 106–108 receptor cells. Each receptor cell has a broad response characteristic to odorants (Lancet, 1986). Odorant information is conveyed topographically to the main olfactory bulb (OB) via the primary olfactory nerve (PON) as spatial patterns of spike trains generated by the noninteracting receptor cells. The PON fibers converge onto 103 glomeruli in the OB glomerular layer. Within each glomerulus (80–150 µm in diameter), 103–105 PON fibers synapse with the apical dendrites of 102–103 mitral and tufted cells. The mitral and tufted cells form reciprocal synapses with 103–104 deep-lying granule cells. Mitral—granule cell interactions are mediated by a sigmoidal gain function (Eeckman and Freeman, 1986). Under synaptic driving, the nonspiking granule cells generate electric dipoles with common instantaneous orientation perpendicular to the bulbar surface. These field potentials form the predominant component of the EEG activity recorded at the bulbar surface (Freeman, 1975). Mitral cell axons converge to form the lateral, olfactory tract (LOT), which projects topographically to the anterior olfactory nucleus but nontopographically to the prepiriform cortex. These structures project back to the bulb in a similar fashion.

Keywords

Olfactory Bulb Main Olfactory Bulb Tufted Cell Amyl Acetate Olfactory Discrimination 
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.

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References

  1. Baird, B., 1986, Nonlinear dynamics of pattern formation and pattern recognition in rabbit olfactory bulb, Physica D 22: 150–175.CrossRefGoogle Scholar
  2. Baird, B., 1986b, Bifurcation analysis of oscillating network model of pattern recognition in the rabbit olfactory bulb, in: Neural Networks for Computing (J. S. Denker, ed.), American Institute of Physics Conference Proceedings, American Institute of Physics, New York, Volume 151. pp. 29–34.Google Scholar
  3. Breiman, L, and Ihaka, R., 1984, Discriminant Analysis via Scaling and ACE, Technical Report No. 40, UC Berkeley Department of Statistics, Berkeley.Google Scholar
  4. Bressler, S. L., 1982, Response of olfactory bulb and cortex to conditioned odor stimulation, Soc. Neurosci. Abstr. 8: 314.Google Scholar
  5. Davis, W., and Freeman, W. J., 1982, On-line detection of respiratory events applied to behavioral conditioning in rabbits, IEEE Trans. Biomed. Eng. 29: 453–456.PubMedCrossRefGoogle Scholar
  6. Edelman, G. M., and Mountcastle, V.B., 1978, The Mindful Brain: Cortical Organization and the Group-Selective Theory. MIT Press, Cambridge, Massachusetts.Google Scholar
  7. Eeckman, F., and Freeman, W. J., 1986, The sigmoid nonlinearity in neural computation: An experimental approach, in: Neural Networks for Computing (J. S. Denker, ed.), American Institute of Physics Conference Proceedings Volume 151, American Institute of Physics, New York, pp. 135–139.Google Scholar
  8. Freeman, W. J., 1975, Mass Action in the Nervous System, Academic Press, New York.Google Scholar
  9. Freeman, W. J., 1979, Nonlinear dynamics of paleocortex manifested in olfactory EEG, Biol Cybernet. 35: 2137.Google Scholar
  10. Freeman, W. J., and Baird, B., 1987, Correlation of olfactory EEG with behavior: Spatial analysis. Behav. Neurosci. 101: 393–408.PubMedCrossRefGoogle Scholar
  11. Freeman, W. J., and Grajski, K. A., 1987, Correlation of olfactory EEG with behavior: Factor analysis. Behav Neurosci. (in press).Google Scholar
  12. Freeman, W. J., and Skarda, C., 1986, Spatial EEG patterns, non-linear dynamics and perception: The neoSherringtonian view, Brain Res. Rev. 10: 147–175.CrossRefGoogle Scholar
  13. Freeman, W. J., Viana di Prisco, G., Davis, G. W., and Whitney, T. M., 1983, Conditioning of relative frequency of sniffing by rabbits to odors, J. Comp. Psychol. 97 (1): 12–23.PubMedCrossRefGoogle Scholar
  14. Gormezano, I., Kehoe, E. J., and Marshall, B. S., 1983, Twenty years of classical conditioning research with the rabbit, Prog. Psychobiol. Psychol. 10: 197–275.Google Scholar
  15. Grajski, K. A., and Freeman, W. J., 1987, Spatial EEG correlates of non-associative and associative olfactory learning in rabbits (submitted for publication).Google Scholar
  16. Grajski, K. A., and Freeman, W. J., 1986, A dynamic model of olfactory discrimination, in: Neural Networks for Computing (J. S. Deuker, ed.), American Institute of Physics Conference Proceedings, Volume 151, American Institute of Physics, New York, pp. 188–193.Google Scholar
  17. Grajski, K. A., Breiman, L., Viana di Prisco, G., and Freeman, W. J., 1986, Classification of EEG spatial patterns with a tree structured methodology: CART, IEEE Trans. Biomed. Eng. 33: (12): 1076–1086.PubMedCrossRefGoogle Scholar
  18. Gray, C. M., Freeman, W. J., and Skinner, J. E., 1986, Chemical dependencies of learning in the rabbit olfactory bulb: Acquisition of the transient spatial pattern change depends on norepinephrine, Behay. Neurosci. 100: 585–596.CrossRefGoogle Scholar
  19. Grossberg, S.,1976, Adaptive classification and universal coding, Biol. Cybernet. 23: 187.Google Scholar
  20. Hinton, G., and Anderson, J., 1981, Parallel Models of Associative Memory, Lawrence Erlbaum Associates, Hillsdale, NJ.Google Scholar
  21. Hopfield, J. J., 1982, Neural networks and physical systems with emergent collective computational abilities, Proc. Natl. Acad. Sci U.S.A. 79: 2554–2557.PubMedCrossRefGoogle Scholar
  22. Kohonen, T., 1984, Self-Organization and Associative Memory, Springer-Verlag, Berlin.Google Scholar
  23. Lancet, D., 1986, Vertebrate olfactory reception, Ann. Rev. Neurosci. 9: 329–355.PubMedCrossRefGoogle Scholar
  24. Thompson, R. F., and Spencer, W. A., 1966, Habituation: A model phenomenon for the study of neuronal substrates of behavior, Psychol. Rev. 73 (1): 16–43.PubMedCrossRefGoogle Scholar
  25. Viana di Prisco, G., and Freeman, W. J., 1986, Odor-related bulbar EEG spatial pattern analysis during appetitive conditioning in rabbits, Behay. Neurosci. 99: 964–978.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1988

Authors and Affiliations

  • Kamil A. Grajski
    • 1
  1. 1.Graduate Group in BiophysicsUniversity of California at BerkeleyBerkeleyUSA

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