Synchronization in network motifsof delay-coupled map-based neurons

We study the in?uence of delayed coupling on synchronizationin neural network motifs. Numerical simulations based on theRulkov map reveal di?erent behavior in the presence and in the absence of the delay. While without delay, synchronization improves as the coupling strength is increased, in the presence of a delay, synchronization becomes worse. We also study how a feedback loop a?ects synchronization. An increase in the number of neurons involved in the loop leads to desynchronization in the motifs, saturating at a certainvalue of the synchronization index.