Memristor Neural Network Circuit Based on Operant Conditioning With Immediacy and Satiety.
Journal:
IEEE transactions on biomedical circuits and systems
PMID:
36264735
Abstract
Most of the operant conditioning only consider the basic theory, but the influencing factors such as immediacy and satiety are ignored. In this paper, a memristor neural network circuit based on operant conditioning with immediacy and satiety is proposed. The designed circuit is mainly composed of voltage control modules, synapse modules and promotion-suppression modules. The various processes of operant conditioning theory are realized. The relationship between positive reward and negative punishment is implemented through promotion-suppression modules and synapse modules. The influence of immediacy on operant conditioning is achieved through voltage control module. The effect of satiety on operant conditioning is discussed using memristive non-volatility. The study of operant conditioning may provide a reference for smarter brain-like nerves.