  The parallel dynamics is given in the case of neural networks with separable
coupling through starting from Coolen-Sherrington (CS) theory. It is shown that
this retrieve dynamics as is the case of sequential evolution in the postulate
of away from saturation and finite temperature. The finite-size effects is
governed by a homogeneous Markov process, which differs from the time-dependent
Ornstein-Uhlenbeck process in sequential dynamics. PACS number(s): 87.10.+e,
75.10.Nr, 02.50.+s
