Memory Patterns Analysis for Discrete-Time Neural Networks with Periodic Coefficients and Time-Varying Transmission Delays

Some new criteria are obtained in this paper to guarantee that the N-dimensional discrete-time neural networks can have 2^N periodic memory patterns. Moreover, we provide the estimation of exponentially attractive basins for these memory patterns. These conditions improve and extend the existing results in the literature. Finally, numerical simulations are performed to illustrate our results.