Memcapacitive Circuit Design of Emotion and Congruency With Schemas Modulate Memory and Its Application in Smart Home Control

Abstract

Most researches on brain-inspired emotional circuits are grounded in memristors. Memcapacitors offer better static power consumption than memristors and exhibit dynamic characteristics that align well with biological neurons. In this article, we propose a memcapacitive circuit design for emotion modulation and congruency with schemas, anchored in the emotion classification model. The proposed circuit is rooted in the theories of schema memory and brain emotion, comprising essential components, such as sensory neuron modules, emotion neuron modules, and emotion-sensation association neuron modules. These modules emulate the functions of the hippocampus, amygdala, primary sensory cortex, and ventromedial prefrontal cortex in the brain. The circuit can receive sensory stimulation across five different frequencies, including visual, auditory, tactile, gustatory, and olfactory stimuli. Besides realizing multiemotional associative memories encompassing surprise, happiness, fear, anger, disgust, and sadness, this work also implements primary schema memory and can be applied to smart home control in Internet of Things based on prior knowledge, showcasing its versatility in practical and interdisciplinary contexts.