Saddle point equations of a neural network with correlated attractors
Mariya V Shcherbina, Brunello Tirozzi · Journal de Physique I · 1994
We derive in a rigorous way, using a new technique, the saddle–point equations of a modified Hopfield model which stores sequences of patterns . We obtain the same equations as those of the replica-symmetry approach without using the n →0 limit but assuming selfaveraging of the Edwards-Anderson order parameter.