Boundedness and global stability for nonautonomous recurrent neural networks with distributed delays

In this paper, we investigate the nonautonomous recurrent neural networks systems with distributed delay. By applying Lyapunov functional method and using some analytic technique, several sufficient conditions to ensure the ultimate boundedness, global asymptotic stability and global exponential stability are established. The results obtained in this paper are new and useful.