Examples of the Investigation of Neural Information Processing by Point Process Analysis

  • David R. Brillinger
  • Alessandro E. P. Villa

Abstract

The firing of neurons is studied via recorded spike trains. A technique for estimating the summation function, the decay function and the firing probability function of a neuron model, on the basis of recorded output and corresponding input spike trains, is described and illustrated for the neuron L3 of Aplysia californica firing under the influence of the neuron L10. The procedure of employing partial coherences to “remove” the effects of a common stimulation on pairs of neurons is validated by applying the technique to neurons of the cat’s auditory thalam us. In this case, the data were collected for the neurons firing first in a spontaneous fashion and then in response to stimulation. Finally coherences within groups of eight neurons are averaged together on the basis of known anatomy to enhance discernment of patterns. In some cases, significant peaks were found in partial coherences where no signs of association were observed during spontaneous firing. It is concluded that the techniques presented here provide a valuable improvement in detecting associations between neurons which are modulated by a stimulus, but are not necessarily time-locked to its time course.

Keywords

Point Process Spike Train Reticular Nucleus Spontaneous Firing Firing Time 
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. 1.
    Aertsen, A.M.H.J. and Gerstein, G.L. (1985) Evaluation of neuronal connectivity: Sensitivity of cross-correlation Brain Research, 340:341–354.CrossRefGoogle Scholar
  2. 2.
    Brillinger, D.R. (1975a) Time Series: Data Analysis and Theory, Holt, Rinehart and Winston, New York, New York.MATHGoogle Scholar
  3. 3.
    Brillinger, D.R. (1975b) The identification of point process systems. Ann. of Prob., 3:909–929.MathSciNetMATHCrossRefGoogle Scholar
  4. 4.
    Brillinger, D.R. (1992) Nerve cell spike train data analysis: A progression of technique. J. Am. Stat. Assoc, 87:260–271.CrossRefGoogle Scholar
  5. 5.
    Brillinger, D.R., Bryant, H.L. Jr. and Segundo, J.R (1976) Identification of synaptic interactions. Biol. Cybern., 22:213–228.MATHCrossRefGoogle Scholar
  6. 6.
    Bryant, H.L., Ruiz Marcos, A. and Segundo, J.R (1973) Correlations of neuronal spike discharges produced by monosynaptic connections and by common inputs. J. Neurophysiol., 36:205–225.Google Scholar
  7. 7.
    Calford, M.B. and Aitkin, L.M. (1983) Ascending projections to the medial through thalamus. J. of Neurosc., 3:2365–2380.Google Scholar
  8. 8.
    Hebb, D.O. (1949) The Organization of Behavior, Wiley, New York, New York.Google Scholar
  9. 9.
    Ledoux, J.E., Sakaguchi, A. and Reis, D.J. (1983) Subcortical efferent projections of the medial geniculate mediate emotional responses conditioned to acoustic stimuli. J. of Neurosc., 4:683–698.Google Scholar
  10. 10.
    Morest, D.K. (1964) The neuronal architecture of the medial geniculate body of the cat. J. of Anat., 98:611–630.Google Scholar
  11. 11.
    Steriade, M. and Llinas, R. (1988) The functional states of the thalamus and the associated neuronal interplay. Phys. Rev., 68:649–742.Google Scholar
  12. 12.
    Villa, A.E.P. (1988) Influence de l’écorce cérébrale sur l’activité spontanée et évoquée du thalamus auditif du chat, Ph.D., Thesis (published), Imprivite, Lausanne, Switzerland.Google Scholar
  13. 13.
    Villa, A.E.P. (1990) Functional differentiation within the auditory part of the thalamic reticular nucleus of the cat. Brain Res. Rev., 15:25–40.CrossRefGoogle Scholar
  14. 14.
    Villa, A.E.P. and Abeles M. (1990) Evidence for spatio-temporal firing patterns within the auditory thalamus of the cat. Brain Res., 509:325–327.CrossRefGoogle Scholar
  15. 15.
    Villa, A.E.P., Rouiller, E.M., Simm, G.M., Zurita, P., de Ribaupierre, Y. and de Ribaupierre, F. (1991) Corticofugal modulation of information processing in the auditory thalamus of the cat. Exp. Brain Res., 86:506–517.CrossRefGoogle Scholar
  16. 16.
    Villa, A.E.P., Brillinger, D.R. and de Ribaupierre, F. (1992) Frequency domain analyses revealed connections beyond stimulus locking in the auditory thalamus. Soc. for Neurosc. Abs., 18:383.Google Scholar
  17. 17.
    Villa, A.E.P. (1992) Temporal aspects of information processing in the central nervous system. CARNAC (Swiss Federal Institute of Technology EPFL-LAMI-DI) Ann. Rev., 5:1–28.Google Scholar

Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • David R. Brillinger
    • 1
  • Alessandro E. P. Villa
    • 2
  1. 1.Statistics DepartmentUniversity of CaliforniaBerkeleyUSA
  2. 2.Institut de PhysiologieUniversité de LausanneSwitzerland

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