Software that detects and analyzes bioelectrical events by assessing the fit of modeled subintervals

Abstract

A software system is described which has been used to identify, average, and otherwise analyse different kinds of electrophysiological events. Spontaneous miniature end-plate potentials were identified by assessing the fit of subintervals within suspected event-containing intervals to flexibly defined model subevents. It was thus practical to apply complex, explicit, and stable criteria in the estimation of the frequency and mean time course of these spontaneous events. This software also mediated the objective rejection of noise-contaminated elements from samples of either evoked or spontaneous potentials. Average event time courses were comprised of a series of estimates of the standard deviations as well as the means. Each analysis generated thousands of individual event amplitudes which were used to improve estimates of quantal release and response parameters. This software allowed more complete analysis of tape-recorded experiments which conserved test compounds and animals, and enabled the observation of simultaneous and equal degrees of action upon spontaneous and evoked potentials, which suggested that a common mechanism was involved.