Stability Analysis of Memristor Neural Networks with State-Dependent Delay

The processing of neural information involves multilevel and multi-region coupling and cooperation. Therefore, the neural activity of structural neural network is worth studying and discussing from the perspective of model and evolution. This article establishes a memristor neural network model with state-dependent delay for the first time. Then, some sufficient algebraic criteria for the local exponential stability of such memristor neural networks are given by pure analysis method. In addition, a numerical example is given to verify the effectiveness of the criteria.