  In complex systems, the interplay between network structure and noise often
leads to emergent phenomena. This study explores the effects of uneven coupling
and asymmetric noise on the dynamics of feed-forward loop (FFL) motifs,
essential components of networks. We investigate how these variations in
network motifs influence noise-induced synchrony and regularity. Using
mathematical models and simulations, we uncover that the interaction of
asymmetric noise and uneven coupling can significantly impact the behavior of
FFL motifs, promoting synchronization and enhancing output regularity. These
findings contribute to a deeper understanding of the role of network motifs in
shaping network dynamics, shedding light on the intricate interplay between
structure, noise, and emergent behavior in complex systems.
