Lag synchronization of coupled time-delayed FitzHugh-Nagumo neural networks via feedback control.

ABSTRACT: Synchronization plays a significant role in information transfer and decision-making by neurons and brain neural networks. The development of control strategies for synchronizing a network of chaotic neurons with time delays, different direction-dependent coupling (unidirectional and bidirectional), and noise, particularly under external disturbances, is an essential and very challenging task. Researchers have extensively studied the synchronization mechanism of two coupled time-delayed neurons with bidirectional coupling and without incorporating the effect of noise, but not for time-delayed neural networks. To overcome these limitations, this study investigates the synchronization problem in a network of coupled FitzHugh-Nagumo (FHN) neurons by incorporating time delays, different direct

SUBMITTER: Ibrahim MM 

PROVIDER: S-EPMC7887243 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature