In this paper, two recursive formulas for computing the spatial entropy of
two-dimensional subshifts of finite type are given. The exact entropy of a
nontrivial example arising in cellular neural networks is obtained by using
such formulas. We also establish some general theory concerning the spatia
l entropy of two-dimensional subshifts of finite type. In particular, we sh
ow that if either of the transition matrices is rank-one, then the associat
ed exact entropy can be explicitly obtained. The generalization of our resu
lts to higher dimension can be similarly obtained. Furthermore, these formu
las can be used numerically for estimating the spatial entropy.