Brain-Like Initial-Boosted Hyperchaos and Application in Biomedical Image Encryption

Neural networks have been widely and deeply studied in the field of computational neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics have not been noticed yet. In this article, we focus on the coupled neural network-based brain-like initial boosting coexisting hyperchaos and its application in biomedical image encryption. We first construct a memristive-coupled neural network (MCNN) model based on two subneural networks and one multistable memristor synapse. Then we investigate its coupling strength-related dynamical behaviors, initial states-related dynamical behaviors, and initial-boosted coexisting hyperchaos using bifurcation diagrams, phase portraits, Lyapunov exponents,…

• NN
  National Natural Science Foundation of China

  Awards: 61971185, 91964108, 2020JJ4218, 61504013
• NS
  Natural Science Foundation of Hunan Province

  Award: 2020JJ4218