Modular memristor circuits for Pavlov associative memory with scalability

This paper proposes a novel neuronal circuit and a Pavlov associative memory network based on memristors, which possesses various characteristics such as adjustable conductance and can effectively simulate the synaptic connection strength between neurons in a neural network. Furthermore, this paper designs a corresponding digital logic circuit for the Pavlovian associative memory task to reproduce the associative memory process observed in Pavlov's experiments. Experimental results show that the proposed circuit can accurately implement associative memory and weight modulation, and can simulate the Pavlovian associative memory process. Combining memristor-based synaptic circuits and memristor-Complementary Metal Oxide Semiconductor digital logic gates, an associative memory circuit with modularity and simple structure is realized and verified using LTSpice. The proposed circuit realizes the basic learning and forgetting functions of Pavlovian associative circuits, which provides a novel circuit implementation form for further research based on Pavlovian association.