A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distributions

W. John Wilbur, John Rinzel

Research output: Contribution to journalArticle

Abstract

We consider the classic Stein (1965) model for stochastic neuronal firing under random synaptic input. Our treatment includes the additional effect of synaptic reversal potentials. We develop and employ two numerical methods (in addition to Monte Carlo simulations) to study the relation of the various parameters of the model to the shape of the theoretical interspike interval distribution. Contrary to the results of Tuckwell (1979) we are unable to account, on the basis of substantial synaptic inhibition and with parameter settings in the known physiologic range, for experimental interspike interval distributions which exhibit large coefficients of variation or bimodality. We therefore introduce a time varying threshold into the model, which readily allows for such distributions and which has physiological justification.

Original languageEnglish (US)
Pages (from-to)345-368
Number of pages24
JournalJournal of Theoretical Biology
Volume105
Issue number2
DOIs
StatePublished - 1983

Fingerprint

Bimodality
Synaptic Potentials
Coefficient of variation
Interval
Reversal
Justification
Numerical methods
Time-varying
Monte Carlo Simulation
Numerical Methods
Model
Range of data
methodology

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Applied Mathematics
  • Modeling and Simulation
  • Statistics and Probability
  • Medicine(all)

Cite this

A theoretical basis for large coefficient of variation and bimodality in neuronal interspike interval distributions. / Wilbur, W. John; Rinzel, John.

In: Journal of Theoretical Biology, Vol. 105, No. 2, 1983, p. 345-368.

Research output: Contribution to journalArticle

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