Yazgan, RamazanHajjaji, SalsabilCherif, Farouk2025-05-102025-05-1020231370-46211573-773X10.1007/s11063-022-10890-x2-s2.0-85131302793https://doi.org/10.1007/s11063-022-10890-xhttps://hdl.handle.net/20.500.14720/14245Hajjaji, Salsabil/0000-0003-3211-7257This work deals with a nonlinear differential equation for a quaternion-valued recurrent neural network. By using the contraction mapping principle and some differential inequalities, we directly studied the existence and the global exponential stability of weighted pseudo-almost automorphic solution for this class of quaternion-valued neural networks. Here, methods were applied without a real or a complex decomposition of the equation system. In addition, an application verifying our results and its numerical simulation was given. The generated results about the weighted pseudo-almost automorphic solution of the considered model are new.eninfo:eu-repo/semantics/closedAccessGlobal Exponential StabilityQuaternion-Valued Recurrent Neural NetworksWeighted Pseudo-Almost-AutomorphicArticle551Q3Q3423440WOS:000804529000001