Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell (1997)
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BibTeX
@MISC{Troyer97physiologicalgain,
author = {Todd W. Troyer and Kenneth D. Miller and Otolaryngology},
title = {Physiological Gain Leads to High ISI Variability in a Simple Model of a Cortical Regular Spiking Cell},
year = {1997}
}
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Abstract
To understand the interspike interval (ISI) variability displayed by visual cortical neurons (Softky and Koch, 1993), it is critical to examine the dynamics of their neuronal integration as well as the variability in their synaptic input current. Most previous models have focused on the latter factor. We match a simple integrate-and-fire model to the experimentally measured integrative properties of cortical regular spiking cells (McCormick et al., 1985). After setting RC parameters, the post-spike voltage reset is set to match experimental measurements of neuronal gain (obtained from in vitro plots of firing frequency vs. injected current). Examination of the resulting model leads to an intuitive picture of neuronal integration that unifies the seemingly contradictory "1= p N " and "random walk" pictures that have previously been proposed. When ISI's are dominated by post-spike recovery, 1= p N arguments hold and spiking is regular; after the "memory" of the last spike becomes ne...
