Multi-chip Integrate and Fire neural network architecture

In the field of the Artificial Neural Networks, multi-chip architecture can be effectively used to implement very large networks. The availability of large neural electronic systems can represent a really useful tool to deeply and effectively investigate on innovative, “bio-inspired”, computational paradigms. In this paper, the authors present a technique to reduce the I/O analogue pins of about 87%, previously applied from the authors to Cellular Neural Networks, well suited for neuromorphic neural networks.