Convergence behavior of Cohen–Grossberg neural networks with time-varying delays in the leakage terms

In this paper, we study the convergence behavior of Cohen–Grossberg neural networks with time-varying delays in the leakage terms. Under proper conditions, we establish some criteria to guarantee that the solutions of the networks converge locally exponentially to zero point, which are new and complement of previously known results. Moreover, we give an example to illustrate the effectiveness of our main results.