DPCNN: a modular chip for large CNN arrays

The VLSI implementation of Cellular Neural Networks is a relevant task which is very important for the future development of neural networks. In this paper a a modular VLSI implementation of a 3×3 Digitally Programmable Cellular Neural Networks is presented. This chip is the first successfully tested fully programmable Cellular Neural Network hardware implementation. It covers most of the available one-neighborhood templates for image processing applications. Moreover, it has been designed to be easily interconnected to others to give very large CNN arrays