Delayed neural networks with multistable almost periodic solutions

In this paper, we are concerned with the multistability of almost periodic solutions of a class of delayed neural networks. We derive conditions guaranteeing 2ⁿ asymptotically stable almost periodic trajectories for neural networks with n-neurons. Furthermore, we investigate the attraction basin of each almost periodic solution. Compared with the existing literature, we obtain a more general criteria for the multistability of delayed neural networks and depict the attraction basins more precisely.