Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks.

In this paper, we have obtained some sufficient conditions to guarantee that Cohen-Grossberg neural networks with discrete and distributed delays have a periodic orbit and this periodic orbit are globally attractive. The results presented in this paper are the improvement and extension of the existed ones in some existing works. Finally, the validity and performance of the results are illustrated by two simulation examples. [ABSTRACT FROM AUTHOR]