Synchronization of reaction–diffusion neural networks via event-triggered control with delays

Key Points

• Synchronization was achieved in reaction-diffusion neural networks, facilitating improved communication between units.
• Notably, the implementation of event-triggered control outperformed traditional control methods in specific scenarios.
• Analysis shows that delays do not greatly hinder the synchronization process, ensuring stable network performance.
• Event-triggered control may enhance the robustness and adaptability of neural network systems in real-time applications.