Models of animal timing often assume the existence of a pacemaker whose var
iance is produced by a Poisson process. Later stages in these models typica
lly include an accumulator, additional sources of variance, and a process i
n which the accumulated value is compared to reference memory. Together, th
ese stages produce a constant coefficient of variation (i.e. the 'scalar pr
operty,' often observed in experiments) even though at least one of the sou
rces of variance is not scalar. We propose a more parsimonious source of sc
alar variance. We define a linear failure rate function and demonstrate tha
t its resulting distribution function, called the Rayleigh distribution, al
ways produces the scalar property without requiring: (a) additional sources
of variance, or (b) that comparisons with reference memory always be based
on ratios. Continuous and discrete versions of this model are derived. Thi
s model may serve as a more parsimonious pacemaker than others currently pr
oposed and may replace the pacemaker/accumulator process in timing models.
(C) 1998 Elsevier Science B.V. All rights reserved.