This paper investigates the stability of a class of quaternion-valued neural networks (QVNNs) with discrete and distributed delays. By decomposing the QVNN and forming an equivalent real-valued vector-matrix differential equation (RVVDE). based on the Lyapunov theory and some matrix inequalities. some sufficient conditions are derived to ensure the existence and uniqueness. https://www.adventuresonabike.com/product-category/sciarpa/