Biological Cybernetics

, Volume 71, Issue 6, pp 511–521 | Cite as

Neural modeling of the dorsal cochlear nucleus: cross-correlation analysis of short-duration tone-burst responses

  • Kevin A. Davis
  • Herbert F. Voigt
Article
Received:
Accepted:

Abstract

A conceptual model of a portion of dorsal cochlear nucleus (DCN) neural circuitry has emerged over the past two decades. This model suggests that the response properties of the DCN's major projection neurons, called type IV units, are due, in part, to the behavior of local circuit inhibitory interneurons called type II units (Young and Brownell 1976). Cross-correlation studies of simultaneously recorded pairs of DCN units in decerebrate cat derived from 50-s best frequency (BF) stimuli are consistent with and have extended this conceptual model (Voigt and Young 1980, 1985, 1988, 1990). Interestingly, Gochin et al. (1989) found no signs of inhibition in the anesthetized rat DCN in cross-correlograms derived from 55-ms short-duration BF tone bursts. This seemingly contradictory result has motivated this study. Computer simulations were run using our network model of the intrinsic DCN neural circuitry. This model has previously been shown to reproduce the major features of both type II and type IV rate-level curves and the inhibitory trough (IT) observed in cross-correlograms derived from long-duration stimuli (Voigt and Davis 1994). The goal was to study the stimulusduration-dependent strength of ITs in the cross-correlograms derived from short-duration BF tone-burst stimuli. The results suggest that ITs may not be detectable when the stimulus duration is 50 ms but may be detectable when the stimulus duration is 200 ms or greater. Furthermore, when the ITs are detected in cross-correlograms derived from 200-ms data sets, the strength of the IT, as measured by effectiveness, is comparable to the strength of ITs measured when the stimulus duration is 50 s.

Keywords

Stimulus Duration Inhibitory Interneuron Neural Circuitry Good Frequency Tone Burst 
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.
This is a preview of subscription content, log in to check access.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aertsen AMHJ, Gerstein GL (1985) Evaluation of neuronal connectivity: sensitivity of cross-correlation. Brain Res 340:341–354CrossRefPubMedGoogle Scholar
  2. Aertsen AMHJ, Gerstein GL, Habib MK, Palm G (1989) Dynamics of neuronal firing correlation: modulation of ‘effective connectivity’. J Neurophysiol 61:900–917PubMedGoogle Scholar
  3. Ahissar M, Ahissar E, Bergman H, Vaadia E (1992) Encoding of sound source location and movement: activity of single neurons and interaction between adjacent neurons in the monkey auditory cortex. J Neurophysiol 67:203–215PubMedGoogle Scholar
  4. Brillinger DR (1975) Statistical inference for stationary point processes. In: Puri ML (ed) Stochastic processes and related topics. Academic, London, pp 55–99Google Scholar
  5. Bryant HL, Marcos AR, Segundo JP (1973) Correlations of neuronal spike discharges produced by monosynaptic connections and by common inputs. J Neurophysiol 36:205–225PubMedGoogle Scholar
  6. Davis KA, Voigt HF (1991) Neural modeling of the DCN: cross-correlation analysis using short-duration tone-burst stimuli. IEEE 17th Annual Northeast Bioeng Conf, Connecticut, 211–212Google Scholar
  7. Dickson JM, Gerstein GL (1974) Interactions between neurons in the auditory cortex of the cat. J Neurophysiol 37:1239–1261PubMedGoogle Scholar
  8. Eggermont JJ, Epping WJM, Aertsen AMHJ (1983) Stimulus dependent neural correlations in the auditory midbrain of the grassfrog (Rana temporaria L.). Biol Cybern 47:103–117CrossRefPubMedGoogle Scholar
  9. Evans EF, Nelson PG (1973) The responses of single neurones in the cochlear nucleus of the cat as a function of their location and the anaesthetic state. Exp Brain Res 17:402–427PubMedGoogle Scholar
  10. Frostig RD, Gottlieb Y, Vaadia E, Abeles M (1983) The effects of stimuli on the activity and functional connectivity of local neuronal groups in the cat auditory cortex. Brain Res 272:211–221CrossRefPubMedGoogle Scholar
  11. Gerstein GL, Bloom MJ, Espinosa IE, Evanczuk S, Turner MR (1983) Design of a laboratory for multineuron studies. IEEE Trans Syst, Man and Cybern SMC-13:668–676Google Scholar
  12. Gochin PE, Kaltenbach JA, Gerstein GL (1989) Coordinated activity of neuron pairs in anesthetized rat dorsal cochlear nucleus. Brain Res 497:1–11CrossRefPubMedGoogle Scholar
  13. Levick WR, Cleland BG, Dubin MW (1972) Lateral geniculate neurons of cat: retinal inputs and physiology. Invest Opthalmol 11:302–311Google Scholar
  14. Liberman MC (1978) Auditory-nerve responses from cats raised in a low-noise chamber. J Acoust Soc Am 63:442–455CrossRefPubMedGoogle Scholar
  15. MacGregor RJ, Oliver RM (1974) A model for repetitive firing in neurons. Biol Cybern 16:53–64Google Scholar
  16. McMullen TA, Voigt HF (1984) Neuronal circuitry of dorsal cochlear nucleus: a computer model. Soc Neurosci Abstr 10:842Google Scholar
  17. Melssen WJ, Epping WJM (1987) Detection and estimation of neural connectivity based on cross-correlation analysis. Biol Cybern 57:403–414CrossRefPubMedGoogle Scholar
  18. Moore GP, Segundo JP, Perkel DH, Levitan H (1970) Statistical signs of synaptic interaction in neurons. Biophys J 10:876–900PubMedGoogle Scholar
  19. Palm G, Aertsen AMHJ, Gerstein GL (1988) On the significance of correlations among neuronal spike trains. Biol Cybern 59:1–11CrossRefPubMedGoogle Scholar
  20. Perkel DH, Gerstein GL, Moore GP (1967) Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains. Biophys J 7:419–440PubMedGoogle Scholar
  21. Sachs MB, Winslow RL, Sokolowski BH (1989) A computational model for rate-level functions from cat auditory-nerve fibers. Hear Res 41:61–70CrossRefPubMedGoogle Scholar
  22. Spirou GA, Young ED (1991) Organization of dorsal cochlear nucleus type IV unit response maps and their relationship to activation by band-limited noise. J Neurophysiol 66:1750–1768PubMedGoogle Scholar
  23. Sydorenko MR (1992) Analysis of functional connectivity in the cat dorsal cochlear nucleus. PhD dissertation, The Johns Hopkins University, BaltimoreGoogle Scholar
  24. Vaadia E, Aertsen AMHJ (1993) Coding and computation in the cortex: single-neuron activity and cooperative phenomena. In: Aertsen AMHJ, Braitenberg V (eds) Information processing in the cortex: experiments and theory. Springer Berlin Heidelberg New YorkGoogle Scholar
  25. Voigt HF, Davis KA (1990) Computer simulations of neural correlations in dorsal cochlear nucleus. Abstr for Symposium on Cochlear Nucleus: Structure and Function in Relation to Modeling. Keele University, Keele, UKGoogle Scholar
  26. Voigt HF, Davis KA (1994) Computer simulations of neural correlations in dorsal cochlear nucleus. In: Ainsworth WA (ed) Cochlear nucleus: structure and function in relation to modeling. JAI Press, London (in press)Google Scholar
  27. Voigt HF, McMullen TA (1984) Simulation of neuronal circuitry of the dorsal cochlear nucleus. Assoc Res Otolaryngol Abstr 7:67Google Scholar
  28. Voigt HF, Young ED (1980) Evidence of inhibitory interactions between neurons in the dorsal cochlear nucleus. J Neurophysiol 44:76–96PubMedGoogle Scholar
  29. Voigt HF, Young ED (1985) Stimulus dependent neural correlation: an example from the dorsal cochlear nucleus. Exp Brain Res 60:594–598CrossRefPubMedGoogle Scholar
  30. Voigt HF, Young ED (1988) Neural correlations in the dorsal cochlear nucleus: pairs of units with similar response properties. J Neurophysiol 59:1014–1032PubMedGoogle Scholar
  31. Voigt HF, Young ED (1990) Cross-correlation analysis of inhibitory interactions in dorsal cochlear nucleus. J Neurophysiol 64:1590–1610PubMedGoogle Scholar
  32. Westerman LA, Smith RL (1984) Rapid and short-term adaptation in auditory nerve responses. Hear Res 15:249–260CrossRefPubMedGoogle Scholar
  33. Young ED (1980) Identification of response properties of ascending axons from dorsal cochlear nucleus. Brain Res 200:23–37CrossRefPubMedGoogle Scholar
  34. Young ED, Brownell WE (1976) Responses to tones and noise of single cells in dorsal cochlear nucleus of unanesthetized cats. J Neurophysiol 39:282–300PubMedGoogle Scholar
  35. Young ED, Voigt HF (1982) Response properties of type II and type III units in dorsal cochlear nucleus. Hear Res 6:153–169CrossRefPubMedGoogle Scholar

Copyright information

© Springer-Verlag 1994

Authors and Affiliations

  • Kevin A. Davis
    • 1
  • Herbert F. Voigt
    • 1
    • 2
    • 3
  1. 1.Department of Biomedical EngineeringBoston UniversityBostonUSA
  2. 2.Department of OtolaryngologyBoston UniversityUSA
  3. 3.Department of PhysiologyHebrew UniversityJerusalemIsrael

Personalised recommendations