The discrimination between two spike trains is a fundamental problem for bo
th experimentalists and the nervous system itself. We introduce a measure f
or the distance between two spike trains. The distance has a time constant
as a parameter. Depending on this parameter, the distance interpolates betw
een a coincidence detector and a rate difference counter. The dependence of
the distance on noise is studied with an integrate-and-fire model. For an
intermediate range of the time constants, the distance depends linearly on
the noise. This property can be used to determine the intrinsic noise of a
neuron.