Implementation of a discrete cellular neuron model (DT-CNN) architecture on FPGA
J. J. Martinez, F. Javier Toledo, José Manuel Ferrández Vicente · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
This paper explores different alternatives to carry out a model of digital CNN from the point of view of its implementation on FPGAs. It shows the developments of four different DT-CNN models obtained from different transformations made to the original continuous model of CNN. Next, each discrete approach is simulated and compared with the rest of approaches and the continuous models. The objective of this study is to find the approach which best emulates the continuous neuron model at minimum computational cost. The simulations and temporal analysis of the discrete models have been made both in feedback and open system in order to verify their functionality. Finally, the architecture of the best model is implementated on an FPGA obtaining very interesting results.