A heterogeneous Hopfield neural network with discrete memristor: modeling, dynamics, and application in medical image encryption

Key Points

• Dynamics of the heterogeneous hopfield neural network are significantly influenced by the discrete memristor incorporation, leading to enhanced performance.
• The model achieves greater encryption effectiveness, reported with a notable increase in security levels for medical images.
• Analysis employs a combination of dynamic modeling and mathematical simulations to assess encryption performance.
• Implications indicate a potential shift in how medical images can be securely encrypted using advanced neural network technologies.