One of the main experimental tools in probing the interactions between neurons has been
the measurement of the correlations in their activity. In general, however, the interpretation of …

We investigate the dynamical behaviour of neural networks with asymmetric synaptic
weights, in the presence of random thresholds. We inspect low gain dynamics before using …

The statistical mechanics of polypeptide folding are studied by Monte Carlo simulations on a
lattice protein model. Effective sampling of the protein conformations over the folding …

We present the results of simulations and theoretical investigations of a system of particles
with a weak, long-range repulsive interaction. At fixed density the fluid phase, which is stable …

An alternative method is applied to the nonequilibrium zero temperature dynamics of a
Sherrington-Kirkpatrick model with nonsymmetric random exchange couplings J ij≠ J j i …

The phenomenon of replica symmetry breaking is investigated for the retrieval phases of
Hopfield-type network models. The basic calculation is done for the generalized version of …

We present an exact dynamical theory, valid on finite time scales, to describe the fully
connected Hopfield model near saturation in terms of deterministic flow equations for order …

We present a theory to describe the dynamics of the Sherrington-Kirkpatrick spin-glass with
(sequential) Glauber dynamics in terms of deterministic flow equations for macroscopic …

This is a short review of systems which exhibit non-self-averaging effects: sums of random
variables when the distribution has a long tail, mean field spin glasses, random map models …

The spin model of Coolen et al.(1993), involving slow dynamical laws for the couplings
linking fast spins, is considered as a spin-glass model having explicit quenched disorder …