This chapter establishes a Mittag–Leffler Euler difference model for the fuzzy Cohen–Grossberg neural networks of fractional order in the sense of Caputo. Next, the existence of a unique global bounded solution and equilibrium point of the acquired difference model is studied by using the contractive mapping principle. Finally, global exponential stability and synchronization of the difference model are investigated by employing some inequality techniques and reduction.