Pulse-Couple Neural Networks have generated quite a bit of interest as image processing tools. Past applications include image segmentation, edge extraction, texture extraction, de-noising, object isolation, foveation and fusion. These past applications do not comprise a complete list of useful applications of the PCNN. Future avenues of research will include level set analysis, binary (optical) correlators, artificial life simulations, maze running and filter jet analysis. This presentation will explore these future avenues of PCNN research.