Miguel Aguilera

Storing Infinite Dynamical Attractors in Nonreciprocal Associative Neural Networks

We develop a dynamical mean-field theory for nonreciprocal associative networks that store an extensive number of dynamical attractors, from limit cycles to strange attractors. Using a path integral calculation under quenched disorder, we derive self-consistent dynamical mean-field equations for pattern overlaps, autoc...