Global Mittag-Leffler stability of fractional-order quaternion-valued neural networks with neutral delays on time scales

Key Points

• The analysis identifies global Mittag-Leffler stability within fractional-order quaternion-valued neural networks, enhancing dynamic response capabilities.
• Key evidence indicates that the proposed model successfully addressed stability through a unique approach to neutral delays.
• Assessment using evolutionary time scales demonstrates the potential robustness of neural network dynamics across varied temporal frameworks.
• These findings highlight implications for future research into advanced neural computing systems, emphasizing the need for further exploration of the proposed model.