Global Stability of Neural Networks with Delays and Impulses.

This paper is concerned with a class of neural networks with delays and impulses. Some sufficient conditions are obtained for the existence and globally exponential stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. An example is given to demonstrate the effectiveness of the obtained results. [ABSTRACT FROM AUTHOR]