Noise-induced synchronization and regularity in feed-forward-loop motifs

TL;DR

This paper investigates how asymmetric noise and uneven coupling influence synchronization and regularity in feed-forward loop motifs, revealing their significant impact on network dynamics through mathematical modeling and simulations.

Contribution

It introduces a detailed analysis of noise and coupling asymmetries in FFL motifs, highlighting their roles in promoting synchronization and regularity in complex networks.

Findings

Asymmetric noise enhances synchronization in FFL motifs.

Uneven coupling affects the regularity of network outputs.

Interactions between noise and coupling can lead to emergent behaviors.

Abstract

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.