Differences in uniquantal amplitude between sites reduce uniquantal variance when few release sites are active

Abstract

In many types of central neurons, the coefficient of variation (CV) of stimulus-evoked uniquantal events inferred from quantal analysis is small, frequently less than 20%. In contrast, spontaneous putative uniquantal events (minis) from the same neurons are much more variable in amplitude, having a CV of roughly 50% or more. One explanation for this discrepancy is that, if the variance in mini amplitude were generated by differences between release sites, the small number of sites activated during stimulation would sometimes fortuitously have similar quantal amplitudes. Only in these fortuitous cases where uniquantal variance is small could quantal peaks be resolved, and therefore the uniquantal CV seen in the subset of cells where quantal analysis can be performed would systematically be much smaller than predicted by the mini distribution. We have explored this possibility by Monte Carlo simulation assuming all variance in mini amplitude to be due to intersite differences in uniquantal amplitude. We find that when a small number of release sites are activated under these conditions, there is a reduction in the expected uniquantal variance. However, the expected uniquantal CV is highly variable from one experiment to the next, and low uniquantal CVs are not expected to be seen often enough to account for the high frequency with which quantal peaks with a uniquantal CV < 20% are observed experimentally. We conclude that variance in mini amplitude between release sites cannot account for the small uniquantal CV seen in quantal analysis of many central synapses.

Rapid Vesicular Release, Quantal Variability, and Spillover Contribute to the Precision and Reliability of Transmission at a Glomerular Synapse

“…Variability also arises from differences in the mean quantal size across sites (intersite or type II quantal variance) (Bekkers et al, 1990;Borst et al, 1994;Frerking and Wilson, 1999), which reflects differences in the mean number of channels activated. Because these types of quantal variability are likely to influence the stochastic properties of EPSCs in different ways (Silver, 2003), we investigated the origins of quantal variability at the MF-GC synapse.…”