摘要：Discrete neural models are of great importance in numerical simulations and practical implementations. In
the current paper, a discrete model of continuous-time neural networks with variable and distributed delays
is investigated. By Lyapunov stability theory and techniques such as linear matrix inequalities, sufficient
conditions guaranteeing the existence and global exponential stability of the unique equilibrium point are
obtained. Introduction of LMIs enables one to take into consideration the sign of connection weights. To show
the effectiveness of the method, an illustrative example, along with numerical simulation, is presented.
