Local field dynamics in symmetric Q-Ising neural networks
arXiv:cond-mat/0106242
Abstract
The time evolution of the local field in symmetric Q-Ising neural networks is studied for arbitrary Q. In particular, the structure of the noise and the appearance of gaps in the probability distribution are discussed. Results are presented for several values of Q and compared with numerical simulations.
11 pages Latex, 6 eps figures