doi:10.1155/2008/843695 Research Article Existence and Global Exponential Stability of Periodic Solutions for General Neural Networks with Time-Varying Delays

By using the coincidence degree theorem and differential inequality techniques, sufficient conditions are obtained for the existence and global exponential stability of periodic solutions for general neural networks with time-varying �including bounded and unbounded � delays. Some known results are improved and some new results are obtained. An example is employed to illustrate our feasible results. Copyright q 2008 Xinsong Yang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 1