A probabilistic approach to parallel dynamics for the Little-Hopfield model
A. E. Patrick, Valentin Anatol'evich Zagrebnov · Journal of Physics A Mathematical and General · 1991
Presents new results on a probabilistic approach to parallel dynamics of the Little-Hopfield model. The authors propose a truncated auxiliary dynamics method to control a feedback noise in this symmetrical neural network with full connection. It allows them to propose an ansatz for derivation of the explicit recurrence relations for the main and residual (noisy) overlap evolution for arbitrary discrete moment t.