We present a method for detecting the dimension of a dynamical system
encompassing simultaneously two distinct discrete time series. This me
thod is an extension of the technique introduced by Grassberger and Pr
ocaccia for single time series and allows to evaluate the common corre
lation dimension of the chaotic attractor. The method is applied to so
me mathematical models and to multiple single-neuron spike trains.