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Volume 45 Issue 9
Sep.  2023
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WANG Zicheng, MA Yongxing, WANG Yanfeng, SUN Junwei. Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3359-3369. doi: 10.11999/JEIT221493
Citation: WANG Zicheng, MA Yongxing, WANG Yanfeng, SUN Junwei. Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption[J]. Journal of Electronics & Information Technology, 2023, 45(9): 3359-3369. doi: 10.11999/JEIT221493

Design of Locally Active Memristor Coupled Heterogeneous Neurons and Its Application to DNA Encoded Image Encryption

doi: 10.11999/JEIT221493
Funds:  The National Natural Science Foundation of China (62276239, 62272424), Zhongyuan Talents Program (ZYYCYU202012154)
  • Received Date: 2022-12-12
  • Rev Recd Date: 2023-04-12
  • Available Online: 2023-04-25
  • Publish Date: 2023-09-27
  • There is heterogeneity between different neurons, characteristics of dynamics are also quite different, so the coupling between heterogeneous neurons is a valuable research direction. In this paper, a locally active memristor coupled heterogeneity neuron is constructed using Fitzhugh-Nagumo (FN) neuron and Hindmarsh-Rose (HR) neuron. The bifurcation diagrams, spectral entropy and three parameter Lyapunov exponential diagrams of the heterogeneous neuron system are analyzed, and the heterogeneous neurons are multiple period windows and rich dynamic characteristics. In order to enhance the security of image transmission, a DNA encoded image encryption algorithm based on locally active memristor coupled heterogeneous neurons is designed. The noise and clipping of the encrypted image are analyzed, and the results show that the algorithm has strong robustness.
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