FPGA implementation of hardware-oriented reaction-diffusion cellular automata models

Abstract

The implementation of a reaction-diffusion (RD) cellular automata (CA) model on an FPGA is presented. The model generates Turing-like patterns, e.g., striped and spotted patterns observed in marking patterns over animal skins, human fingerprints, etc. Moreover, this model has simple dynamics and generates striped or spotted patterns at its equilibrium that is reached within few cycles, which implies that the model is suitable for hardware implementation. To this aim, a digital processor architecture based on the RDCA model is proposed. Finally, the self-organized patterns generated on the FPGA by the implemented processor are presented.