An Improved Memristor-Based Associative Memory Circuit for Full-Function Pavlov Experiment

  • Mengzhe Zhou
  • Lidan WangEmail author
  • Shukai Duan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11555)


Associative memory networks have been extensively studied to imitate the biological associative learning. The control circuits of most associative memory circuits are more complicated. Using the memristor with forgetting effect as a synapse can significantly reduce the complexity of the circuit. In this paper, an associative memory circuit based on a forgetting memristor is proposed to implement full-function Pavlov associative memory. The learning process and forgetting process in the Pavlov experiment, including forgetting under ringing stimuli, forgetting under food stimuli, and forgetting over time, can be achieved by the proposed circuit. The PSPICE simulation results demonstrate the effectiveness of the proposed circuit.


The forgetting memristor Memristive neural network Associative memory circuit Pavlov associative memory 



The work was supported by the National Natural Science Foundation of China under Grant 61571372, 61672436, and 61601376, the Fundamental Science and Advanced Technology Research Foundation of Chongqing cstc2017jcyjBX0050 and cstc2016jcyjA0547, the Fundamental Research Funds for the Central Universities under Grant XDJK2017A005 and XDJK2016A001.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.The College of Electronic and Information EngineeringSouthwest UniversityChongqingChina
  2. 2.Brain-Inspired Computing and Intelligent Control of Chongqing Key LabChongqingChina
  3. 3.National and Local Joint Engineering Laboratory of Intelligent Transmission and Control TechnologyChongqingChina

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