Memristor-Based Neural Network Circuit of Emotional Habituation With Contextual Dependency

Most memristor-based neural networks only consider habituation under repeated stimuli, but the emotional habituation under repeated emotional stimuli is ignored. In this paper, a memristor-based neural network circuit that can realize emotional habituation with contextual dependency is proposed. The designed circuit consists of habituation module, emotion control module, context control module and generalization module. When different emotional stimuli are applied, the emotion control module produces different feedback voltages and has an impact on the formation of habituation. In addition, the influence of contextual information on habituation is considered and the contextual dependency of habituation is achieved. Finally, the generalization of habituation is achieved through the generalization module. The simulation results in PSPICE indicate that the proposed circuit can realize emotional habituation with contextual dependency. The neural network circuit of emotional habituation with contextual dependency provides some references for brain-like intelligence.