Autocorrelation functions are a major tool for the understanding of single-
cell firing patterns. Short-term peaks in autocorrelation functions have pr
eviously been interpreted as a tendency towards bursting activity or elevat
ed probability to emit spikes in a short time-scale. These peaks can actual
ly be a result of the firing of a neuron with a refractory period followed
by a period of constant firing probability. Analytic studies and simulation
s of such neurons replicate the autocorrelation functions of real-world neu
rons. The relative size of the peak increases with the refractory period an
d with the firing rate of the cell. This phenomenon is therefore more notab
le in areas such as the globus pallidus and cerebellum and less clear in th
e cerebral cortex. We describe here a compensation factor that can be calcu
lated from the neuron's hazard function. This factor can be removed from th
e original autocorrelation function to reveal the underlying firing pattern
of the cell. (C) 2001 Elsevier Science B.V. All rights reserved.