Failure of averaging in the construction of a conductance-based neuron model

Jorge Golowasch, Mark S Goldman, L. F. Abbott, Eve Marder

Research output: Contribution to journalArticle

166 Scopus citations

Abstract

Parameters for models of biological systems are often obtained by averaging over experimental results from a number of different preparations. To explore the validity of this procedure, we studied the behavior of a conductance-based model neuron with five voltage-dependent conductances. We randomly varied the maximal conductance of each of the active currents in the model and identified sets of maximal conductances that generate bursting neurons that fire a single action potential at the peak of a slow membrane potential depolarization. A model constructed using the means of the maximal conductances of this population is not itself a one-spike burster, but rather fires three action potentials per burst. Averaging fails because the maximal conductances of the population of one-spike bursters lie in a highly concave region of parameter space that does not contain its mean. This demonstrates that averages over multiple samples can fail to characterize a system whose behavior depends on interactions involving a number of highly variable components.

Original languageEnglish (US)
Pages (from-to)1129-1131
Number of pages3
JournalJournal of Neurophysiology
Volume87
Issue number2
StatePublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Physiology
  • Neuroscience(all)

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    Golowasch, J., Goldman, M. S., Abbott, L. F., & Marder, E. (2002). Failure of averaging in the construction of a conductance-based neuron model. Journal of Neurophysiology, 87(2), 1129-1131.