The deterministic character of discrete time series is analyzed by mea
ns of a method developed by Grassberger and Procaccia. This technique
allows to determine the dimension of the chaotic attractor as well as
that of the embedding space. The method is generalized to the analysis
of the chaotic behaviour associated simultaneously to two discrete ti
me series. Applications to neurobiological data are presented.