DOMAINS OF ATTRACTION OF NEURAL NETWORKS AT FINITE TEMPERATURE

The authors consider neural networks trained by the symmetric Edinburgh algorithm at finite temperature. They show that, while the introduction of the thermal noise affects the dynamics in a computable way, it does not change the domains of attraction of stored patterns.