  In this work we study the synchronization of ring-structured cellular neural
networks modeled by the lattice FitzHugh-Nagumo equations with boundary
feedback. Through the uniform estimates of solutions and the analysis of
dissipative dynamics, the synchronization of this type neural networks is
proved under the condition that the boundary gap signal exceeds the adjustable
threshold.
