Attractor and ultimate boundedness for stochastic cellular neural networks with delays

This paper investigates the attractor and ultimate boundedness for stochastic cellular neural networks with delays. By employing the Lyapunov method and a Lasalle-type theorem, novel results and sufficient criteria on the attractor and ultimate boundedness are obtained.