Evolution of Overlap in Hopfield Network with Continuous Transfer Function

The evolution of overlap which is easily obtained in Hopfield neural network with continuous hyperbolic tangent thresholding function is equivalent to that in corresponding two-state neural network with finite temperature. The attractors of two simple cases, the Hopfield model with independent random patterns and pair correlated patterns, are analyzed.