We present a working definition and a general description of a spin glass and discuss a
number of different systems, including metals, semiconductors and insulators. In this review …

The Hopfield model for a neural network is studied in the limit when the number p of stored
patterns increases with the size N of the network, as p= α N. It is shown that, despite its spin …

Two dynamical models, proposed by Hopfield and Little to account for the collective
behavior of neural networks, are analyzed. The long-time behavior of these models is …

Zero-and longitudinal-field muon-spin relaxation (ZF μSR and LF μSR) measurements have
been applied to dilute-alloy spin glasses AuFe (1.0 and 1.4 at%) and CuMn (1.1, 3, and 5 …

I present an analysis of the dynamic behavior of short-range Ising spin glasses observed in
stochastic simulations. The time dependence of the order parameter q (t)=< S x (0) S x (t)> …

Abstract Models of Ising spin glasses with p-spin interactions are studied in mean field
theory. There are two phase transitions. At a temperature T 1, there is a transition with a …

We study the asymptotic behavior as time t→+∞ of certain nonstationary Markov chains, and
prove the convergence of the annealing algorithm in Monte Carlo simulations. We find that …

For d-dimensional short-range Ising spin-glasses with local spin-flip dynamics, the
correlation function< si (0) si (t)> is argued to be bounded below by a function of the form …

Aspects of brain function are examined in terms of a nonlinear dynamical system of highly
interconnected neuron-like binary decision elements. The model neurons operate …

Experimental results of spin glass studies are reviewed and related to existing theories.
Investigations of spin glasses are concentrated on atomic structure, metallurgical treatment …