The application provides a memory neural network circuit with emotion consistency and masking effect, wherein a non-conditional stimulus
signal is connected with two learning modules and two inhibition modules respectively, a positive conditional stimulus
signal is connected with a learning module and two inhibition modules respectively, a negative conditional stimulus
signal is connected with another learning module and the input ends of two inhibition modules respectively, an emotion stimulus signal is connected with the input end of an emotion module, the output end of the emotion module is connected with the input ends of two inhibition modules respectively, the output end of a learning module is connected with the input end of another feedback module, the output end of another feedback module is connected with the input end of an inhibition module, and the output end of the inhibition module is connected with the input end of another learning module. The application combines emotion with the masking effect in Pavlov's classical conditioning
reflex, and realizes the generation and
recovery of different emotions, the influence of different emotion states on the masking process, and the function of blocking caused by long-term masking.