Emotion is a psychological state triggered by the presentation, cessation, or absence of reward or punishment stimuli, and can also be seen as a set of responses elicited by instrumental reinforcers, where rewards and punishments serve as such stimuli to provoke emotional reactions. Emotions are integral to human cognition and behavior, serving as a driving force for various physical actions. This study presents a memristive emotion-driven behavior circuit, designed to simulate the influence of reward and punishment mechanisms on emotional and behavioral responses. The Self-Responding Emotional Behavior (SEB) model is employed to explain the generation of emotions, motivational behaviors, and the neural mechanisms underlying these processes. The circuit replicates how rewards, punishments, and other reinforcers modulate emotional responses, facilitating the generation of emotion-driven behaviors, the formation of associative emotional reactions, and the expression of emotions triggered by environmental stimuli. Ultimately, this memristive circuit is intended for integration into the emotion module of interactive robots, providing a reference for enhancing robots’ emotional responses to external stimuli. This work contributes to the development of robots capable of emotional expression and responsive interaction with humans.
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