局部有源忆阻耦合异质神经元的设计及在DNA编码图像加密的应用  

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

作　　者：王子成 马永幸 王延峰 孙军伟 WANG Zicheng;MA Yongxing;WANG Yanfeng;SUN Junwei(School of Electrical and Information Engineering,Zhengzhou University of Light Industry,Zhengzhou 450002,China)

机构地区：[1]郑州轻工业大学电气信息工程学院,郑州450002

出　　处：《电子与信息学报》2023年第9期3359-3369,共11页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62276239,62272424);中原青年拔尖人才项目(ZYYCYU202012154)。

摘　　要：不同的神经元之间具有异质性,动力学特性也有很大不同,因此异质神经元之间的耦合是一个有价值的研究方向。该文利用Fitzhugh-Nagumo(FN)神经元和Hindmarsh-Rose(HR)神经元构造一个局部有源忆阻耦合异质神经元。对局部有源忆阻耦合异质神经元的分岔图、谱熵和3参数李雅普诺夫指数图等进行分析,该异质神经元存在多周期窗等丰富的动力学特性。为增强图像传输的安全性设计一种基于局部有源忆阻耦合异质神经元的DNA编码图像加密算法。对加密图像的噪声和裁剪分析表明该图像加密算法具有较强的鲁棒性。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.

关 键 词：忆阻 异质神经元 3参数李雅普诺夫指数 DNA编码 图像加密 

分 类 号：TN711.4[电子电信—电路与系统]