Memristor-Based Apple Feature Recall Network Circuit Application with Emotional Influence

Abstract

In this paper, a memristor-based recall circuit with emotional influence is presented. The circuit includes emotion module, neuron circuit and output module. Positive emotion and negative emotion are generated through the emotion modules. The recall process for an apple’s weight, shape, and texture features is influenced by emotion. The neuron circuits mainly include weight neuron, shape neuron, and texture neuron. The recall process of apple features corresponds to the learning and forgetting processes in associative memory. After learning apple features, when there is positive emotion involved, the forgetting rate of apple features will be slower. When negative emotion is involved, the forgetting rate will be faster. The results of this circuit are verified in PSPICE. The conclusions presented in this paper provide a certain reference for the realization of memristors in neural network hardware circuits.