Bursting Firings in Memristive Hopfield Neural Network With Image Encryption and Hardware Implementation

By integrating memristors into a Hopfield neural network (HNN), a diverse range of dynamical behavior can be generated, which has significant implications for modeling and biomimetic applications of artificial neurons. However, research on the firing dynamics of HNNs remains relatively limited. In response, a memristive tri-neurons Hopfield neural network (MTN-HNN) was constructed, with the synapse of the second neuron replaced by the proposed memristor. A theoretical and experimental investigation of the dynamics of this neural network was conducted using general analytical tools, such as phase diagrams, Lyapunov exponents, bifurcation diagrams, and others. Experimental results indicate that the dynamics of…

• NS
  Natural Science Foundation of Hunan Province

  Award: 2025JJ50368
• SA
  Science and Technology Project of Nantong City

  Award: kzd2501129