Emotion-Driven Memcapacitor Biomimetic Circuit for Reinforcement Learning

Most of the previous operational conditioned reflex neural network circuits were built using traditional memristors. With the discovery of the memcapacitors, memcapacitors offer greater advantages than memristors in simulating neural biological behaviors for reinforcement learning. A reinforcement learning neural network circuit based on memcapacitors is proposed in this paper. Within this framework, reinforcement learning and forgetting of operant conditioning are successfully implemented. Additionally, the internal states involved in emotion generation and regulation that influence decision-making have been simulated. This work provides an implementation idea for the hardware implementation of artificial intelligence.